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2024-12-13 00:51:08,140 - INFO - Self Supervised Video Hashing Training: S5VH
2024-12-13 00:51:08,140 - INFO - set seed: 1
2024-12-13 00:51:08,140 - INFO - PARAMETER ......
2024-12-13 00:51:08,140 - INFO - Config (path: /data2/lianniu/S5VH/configs/S5VH/hmdb.py): {'model_name': 'S5VH', 'use_checkpoint': None, 'feature_size': 4096, 'hidden_size': 256, 'max_frames': 25, 'nbits': 64, 'S5VH_type': 'small', 'dataset': 'hmdb', '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': 1, 'temperature': 0.5, 'tau_plus': 0.05, 'train_num_sample': 3570, 'a_cluster': 0.1, 'temperature_cluster': 0.5, 'nclusters': 100, 'warm_up_epoch': 50, 'smoothing_alpha': 0.01, 'test_batch_size': 128, 'test_num_sample': 3570, 'query_num_sample': 1530, 'optimizer_name': 'AdamW', 'schedule': 'CosineAnnealingLR', 'lr': 0.0005, 'min_lr': 1e-05, 'data_root': '/data2/lianniu/dataset/hmdb4/', 'home_root': '/data2/lianniu/', 'train_feat_path': '/data2/lianniu/dataset/hmdb4/hmdb_train_feats.h5', 'train_assist_path': '/data2/lianniu/dataset/hmdb4/final_train_train_assit.h5', 'latent_feat_path': '/data2/lianniu/dataset/hmdb4/final_train_latent_feats.h5', 'anchor_path': '/data2/lianniu/dataset/hmdb4/final_train_anchors.h5', 'sim_path': '/data2/lianniu/dataset/hmdb4/final_train_sim_matrix.h5', 'semantic_center_path': '/data2/lianniu/dataset/hmdb4/semantic.h5', 'hash_center_path': '/data2/lianniu/dataset/hmdb4/hash_center_64.h5', 'im2cluster_path': '/data2/lianniu/dataset/hmdb4/im2cluster.h5', 'test_feat_path': ['/data2/lianniu/dataset/hmdb4/hmdb_train_feats.h5'], 'label_path': ['/data2/lianniu/dataset/hmdb4/hmdb_train_labels.mat'], 'query_feat_path': ['/data2/lianniu/dataset/hmdb4/hmdb_test_feats.h5'], 'query_label_path': ['/data2/lianniu/dataset/hmdb4/hmdb_test_labels.mat'], 'save_dir': '/data2/lianniu/saved_model/hmdb/S5VH', 'file_path': '/data2/lianniu/saved_model/hmdb/S5VH_64bit'}
2024-12-13 00:51:08,140 - INFO - loading model ......
2024-12-13 00:51:10,582 - INFO - loading train data ......
2024-12-13 00:51:11,490 - INFO - loading eval data ......
2024-12-13 00:51:12,784 - INFO - begin training stage: [1/350]
2024-12-13 00:51:17,511 - INFO - Epoch:[1/350] Step:[28/28] reconstruction_loss: 0.62 contra_loss: 3.44 contra_loss_cluster: 4.60
2024-12-13 00:51:17,786 - INFO - now the learning rate is: 0.0004999901304618634
2024-12-13 00:51:18,002 - INFO - begin training stage: [2/350]
2024-12-13 00:51:21,497 - INFO - Epoch:[2/350] Step:[28/28] reconstruction_loss: 0.62 contra_loss: 3.36 contra_loss_cluster: 4.59
2024-12-13 00:51:21,867 - INFO - now the learning rate is: 0.0004999605226426192
2024-12-13 00:51:22,185 - INFO - begin training stage: [3/350]
2024-12-13 00:51:25,637 - INFO - Epoch:[3/350] Step:[28/28] reconstruction_loss: 0.61 contra_loss: 3.35 contra_loss_cluster: 4.58
2024-12-13 00:51:25,989 - INFO - now the learning rate is: 0.0004999111789277001
2024-12-13 00:51:26,299 - INFO - begin training stage: [4/350]
2024-12-13 00:51:29,804 - INFO - Epoch:[4/350] Step:[28/28] reconstruction_loss: 0.58 contra_loss: 3.33 contra_loss_cluster: 4.57
2024-12-13 00:51:30,148 - INFO - now the learning rate is: 0.0004998421032926137
2024-12-13 00:51:30,451 - INFO - begin training stage: [5/350]
2024-12-13 00:51:33,953 - INFO - Epoch:[5/350] Step:[28/28] reconstruction_loss: 0.57 contra_loss: 3.31 contra_loss_cluster: 4.57
2024-12-13 00:51:34,315 - INFO - now the learning rate is: 0.0004997533013026221
2024-12-13 00:51:34,663 - INFO - begin training stage: [6/350]
2024-12-13 00:51:38,130 - INFO - Epoch:[6/350] Step:[28/28] reconstruction_loss: 0.52 contra_loss: 3.31 contra_loss_cluster: 4.56
2024-12-13 00:51:38,403 - INFO - now the learning rate is: 0.0004996447801122936
2024-12-13 00:51:38,749 - INFO - begin training stage: [7/350]
2024-12-13 00:51:42,215 - INFO - Epoch:[7/350] Step:[28/28] reconstruction_loss: 0.49 contra_loss: 3.31 contra_loss_cluster: 4.55
2024-12-13 00:51:42,505 - INFO - now the learning rate is: 0.0004995165484649266
2024-12-13 00:51:42,821 - INFO - begin training stage: [8/350]
2024-12-13 00:51:46,235 - INFO - Epoch:[8/350] Step:[28/28] reconstruction_loss: 0.46 contra_loss: 3.28 contra_loss_cluster: 4.54
2024-12-13 00:51:46,530 - INFO - now the learning rate is: 0.0004993686166918443
2024-12-13 00:51:46,832 - INFO - begin training stage: [9/350]
2024-12-13 00:51:50,244 - INFO - Epoch:[9/350] Step:[28/28] reconstruction_loss: 0.45 contra_loss: 3.29 contra_loss_cluster: 4.53
2024-12-13 00:51:50,576 - INFO - now the learning rate is: 0.0004992009967115635
2024-12-13 00:51:50,911 - INFO - begin training stage: [10/350]
2024-12-13 00:51:54,286 - INFO - Epoch:[10/350] Step:[28/28] reconstruction_loss: 0.44 contra_loss: 3.28 contra_loss_cluster: 4.53
2024-12-13 00:51:54,580 - INFO - now the learning rate is: 0.0004990137020288336
2024-12-13 00:51:54,885 - INFO - begin training stage: [11/350]
2024-12-13 00:51:58,332 - INFO - Epoch:[11/350] Step:[28/28] reconstruction_loss: 0.44 contra_loss: 3.27 contra_loss_cluster: 4.52
2024-12-13 00:51:58,666 - INFO - now the learning rate is: 0.0004988067477335482
2024-12-13 00:51:58,968 - INFO - begin training stage: [12/350]
2024-12-13 00:52:02,412 - INFO - Epoch:[12/350] Step:[28/28] reconstruction_loss: 0.43 contra_loss: 3.25 contra_loss_cluster: 4.51
2024-12-13 00:52:02,716 - INFO - now the learning rate is: 0.0004985801504995306
2024-12-13 00:52:03,057 - INFO - begin training stage: [13/350]
2024-12-13 00:52:06,483 - INFO - Epoch:[13/350] Step:[28/28] reconstruction_loss: 0.41 contra_loss: 3.27 contra_loss_cluster: 4.50
2024-12-13 00:52:06,830 - INFO - now the learning rate is: 0.0004983339285831892
2024-12-13 00:52:07,128 - INFO - begin training stage: [14/350]
2024-12-13 00:52:10,538 - INFO - Epoch:[14/350] Step:[28/28] reconstruction_loss: 0.42 contra_loss: 3.24 contra_loss_cluster: 4.48
2024-12-13 00:52:10,843 - INFO - now the learning rate is: 0.000498068101822047
2024-12-13 00:52:11,148 - INFO - begin training stage: [15/350]
2024-12-13 00:52:14,546 - INFO - Epoch:[15/350] Step:[28/28] reconstruction_loss: 0.40 contra_loss: 3.27 contra_loss_cluster: 4.48
2024-12-13 00:52:14,869 - INFO - now the learning rate is: 0.000497782691633144
2024-12-13 00:52:15,175 - INFO - begin training stage: [16/350]
2024-12-13 00:52:18,614 - INFO - Epoch:[16/350] Step:[28/28] reconstruction_loss: 0.41 contra_loss: 3.26 contra_loss_cluster: 4.48
2024-12-13 00:52:18,919 - INFO - now the learning rate is: 0.0004974777210113104
2024-12-13 00:52:19,220 - INFO - begin training stage: [17/350]
2024-12-13 00:52:22,698 - INFO - Epoch:[17/350] Step:[28/28] reconstruction_loss: 0.41 contra_loss: 3.23 contra_loss_cluster: 4.46
2024-12-13 00:52:23,000 - INFO - now the learning rate is: 0.0004971532145273155
2024-12-13 00:52:23,350 - INFO - begin training stage: [18/350]
2024-12-13 00:52:26,777 - INFO - Epoch:[18/350] Step:[28/28] reconstruction_loss: 0.39 contra_loss: 3.26 contra_loss_cluster: 4.46
2024-12-13 00:52:27,049 - INFO - now the learning rate is: 0.0004968091983258864
2024-12-13 00:52:27,360 - INFO - begin training stage: [19/350]
2024-12-13 00:52:30,794 - INFO - Epoch:[19/350] Step:[28/28] reconstruction_loss: 0.40 contra_loss: 3.24 contra_loss_cluster: 4.45
2024-12-13 00:52:31,067 - INFO - now the learning rate is: 0.000496445700123603
2024-12-13 00:52:31,371 - INFO - begin training stage: [20/350]
2024-12-13 00:52:34,873 - INFO - Epoch:[20/350] Step:[28/28] reconstruction_loss: 0.41 contra_loss: 3.24 contra_loss_cluster: 4.44
2024-12-13 00:52:35,172 - INFO - now the learning rate is: 0.0004960627492066642
2024-12-13 00:52:35,517 - INFO - eval data number: 3570
2024-12-13 00:52:37,523 - INFO - loading query data ......
2024-12-13 00:52:38,613 - INFO - retrieval costs: 3.095433473587036
2024-12-13 00:52:38,780 - INFO - hamming distance computation costs: 0.16668367385864258
2024-12-13 00:52:38,892 - INFO - hamming ranking costs: 0.1125645637512207
2024-12-13 00:52:38,893 - INFO - labels shape: (1530, 51) and (3570, 51)
2024-12-13 00:52:39,103 - INFO - similarity labels generation costs: 0.2103588581085205
2024-12-13 00:52:39,127 - INFO - topK: 5:, map: 0.1870087145969499
2024-12-13 00:52:39,214 - INFO - topK: 20:, map: 0.1327312444684546
2024-12-13 00:52:39,382 - INFO - topK: 40:, map: 0.10165860211051171
2024-12-13 00:52:39,629 - INFO - topK: 60:, map: 0.08326594133216883
2024-12-13 00:52:39,958 - INFO - topK: 80:, map: 0.07023780596706883
2024-12-13 00:52:40,370 - INFO - topK: 100:, map: 0.06087301554075211
2024-12-13 00:52:40,445 - INFO - begin training stage: [21/350]
2024-12-13 00:52:43,889 - INFO - Epoch:[21/350] Step:[28/28] reconstruction_loss: 0.39 contra_loss: 3.23 contra_loss_cluster: 4.43
2024-12-13 00:52:44,197 - INFO - now the learning rate is: 0.0004956603764285286
2024-12-13 00:52:44,501 - INFO - begin training stage: [22/350]
2024-12-13 00:52:47,952 - INFO - Epoch:[22/350] Step:[28/28] reconstruction_loss: 0.39 contra_loss: 3.27 contra_loss_cluster: 4.43
2024-12-13 00:52:48,265 - INFO - now the learning rate is: 0.0004952386142074288
2024-12-13 00:52:48,583 - INFO - begin training stage: [23/350]
2024-12-13 00:52:52,021 - INFO - Epoch:[23/350] Step:[28/28] reconstruction_loss: 0.39 contra_loss: 3.25 contra_loss_cluster: 4.43
2024-12-13 00:52:52,310 - INFO - now the learning rate is: 0.0004947974965237591
2024-12-13 00:52:52,621 - INFO - begin training stage: [24/350]
2024-12-13 00:52:56,074 - INFO - Epoch:[24/350] Step:[28/28] reconstruction_loss: 0.40 contra_loss: 3.26 contra_loss_cluster: 4.41
2024-12-13 00:52:56,379 - INFO - now the learning rate is: 0.0004943370589173384
2024-12-13 00:52:56,687 - INFO - begin training stage: [25/350]
2024-12-13 00:53:00,116 - INFO - Epoch:[25/350] Step:[28/28] reconstruction_loss: 0.40 contra_loss: 3.25 contra_loss_cluster: 4.41
2024-12-13 00:53:00,527 - INFO - now the learning rate is: 0.0004938573384845465
2024-12-13 00:53:00,823 - INFO - begin training stage: [26/350]
2024-12-13 00:53:04,278 - INFO - Epoch:[26/350] Step:[28/28] reconstruction_loss: 0.40 contra_loss: 3.24 contra_loss_cluster: 4.41
2024-12-13 00:53:04,569 - INFO - now the learning rate is: 0.0004933583738753353
2024-12-13 00:53:04,878 - INFO - begin training stage: [27/350]
2024-12-13 00:53:08,341 - INFO - Epoch:[27/350] Step:[28/28] reconstruction_loss: 0.39 contra_loss: 3.23 contra_loss_cluster: 4.40
2024-12-13 00:53:08,612 - INFO - now the learning rate is: 0.0004928402052901147
2024-12-13 00:53:08,929 - INFO - begin training stage: [28/350]
2024-12-13 00:53:12,376 - INFO - Epoch:[28/350] Step:[28/28] reconstruction_loss: 0.39 contra_loss: 3.23 contra_loss_cluster: 4.36
2024-12-13 00:53:12,649 - INFO - now the learning rate is: 0.0004923028744765143
2024-12-13 00:53:13,010 - INFO - begin training stage: [29/350]
2024-12-13 00:53:16,429 - INFO - Epoch:[29/350] Step:[28/28] reconstruction_loss: 0.40 contra_loss: 3.23 contra_loss_cluster: 4.37
2024-12-13 00:53:16,718 - INFO - now the learning rate is: 0.0004917464247260196
2024-12-13 00:53:17,035 - INFO - begin training stage: [30/350]
2024-12-13 00:53:20,571 - INFO - Epoch:[30/350] Step:[28/28] reconstruction_loss: 0.37 contra_loss: 3.24 contra_loss_cluster: 4.36
2024-12-13 00:53:20,845 - INFO - now the learning rate is: 0.0004911709008704838
2024-12-13 00:53:21,211 - INFO - begin training stage: [31/350]
2024-12-13 00:53:24,721 - INFO - Epoch:[31/350] Step:[28/28] reconstruction_loss: 0.39 contra_loss: 3.22 contra_loss_cluster: 4.34
2024-12-13 00:53:24,993 - INFO - now the learning rate is: 0.0004905763492785162
2024-12-13 00:53:25,296 - INFO - begin training stage: [32/350]
2024-12-13 00:53:28,765 - INFO - Epoch:[32/350] Step:[28/28] reconstruction_loss: 0.37 contra_loss: 3.22 contra_loss_cluster: 4.33
2024-12-13 00:53:29,039 - INFO - now the learning rate is: 0.0004899628178517462
2024-12-13 00:53:29,352 - INFO - begin training stage: [33/350]
2024-12-13 00:53:32,824 - INFO - Epoch:[33/350] Step:[28/28] reconstruction_loss: 0.38 contra_loss: 3.22 contra_loss_cluster: 4.34
2024-12-13 00:53:33,128 - INFO - now the learning rate is: 0.0004893303560209644
2024-12-13 00:53:33,438 - INFO - begin training stage: [34/350]
2024-12-13 00:53:36,929 - INFO - Epoch:[34/350] Step:[28/28] reconstruction_loss: 0.36 contra_loss: 3.22 contra_loss_cluster: 4.32
2024-12-13 00:53:37,229 - INFO - now the learning rate is: 0.0004886790147421392
2024-12-13 00:53:37,565 - INFO - begin training stage: [35/350]
2024-12-13 00:53:41,100 - INFO - Epoch:[35/350] Step:[28/28] reconstruction_loss: 0.36 contra_loss: 3.21 contra_loss_cluster: 4.31
2024-12-13 00:53:41,401 - INFO - now the learning rate is: 0.00048800884649231223
2024-12-13 00:53:41,756 - INFO - begin training stage: [36/350]
2024-12-13 00:53:45,234 - INFO - Epoch:[36/350] Step:[28/28] reconstruction_loss: 0.38 contra_loss: 3.22 contra_loss_cluster: 4.30
2024-12-13 00:53:45,554 - INFO - now the learning rate is: 0.00048731990526537
2024-12-13 00:53:45,865 - INFO - begin training stage: [37/350]
2024-12-13 00:53:49,352 - INFO - Epoch:[37/350] Step:[28/28] reconstruction_loss: 0.37 contra_loss: 3.21 contra_loss_cluster: 4.29
2024-12-13 00:53:49,653 - INFO - now the learning rate is: 0.0004866122465676939
2024-12-13 00:53:50,000 - INFO - begin training stage: [38/350]
2024-12-13 00:53:53,472 - INFO - Epoch:[38/350] Step:[28/28] reconstruction_loss: 0.36 contra_loss: 3.22 contra_loss_cluster: 4.28
2024-12-13 00:53:53,746 - INFO - now the learning rate is: 0.00048588592741368814
2024-12-13 00:53:54,100 - INFO - begin training stage: [39/350]
2024-12-13 00:53:57,595 - INFO - Epoch:[39/350] Step:[28/28] reconstruction_loss: 0.36 contra_loss: 3.22 contra_loss_cluster: 4.28
2024-12-13 00:53:57,902 - INFO - now the learning rate is: 0.0004851410063211859
2024-12-13 00:53:58,268 - INFO - begin training stage: [40/350]
2024-12-13 00:54:01,741 - INFO - Epoch:[40/350] Step:[28/28] reconstruction_loss: 0.37 contra_loss: 3.21 contra_loss_cluster: 4.26
2024-12-13 00:54:02,015 - INFO - now the learning rate is: 0.0004843775433067352
2024-12-13 00:54:02,328 - INFO - eval data number: 3570
2024-12-13 00:54:04,358 - INFO - loading query data ......
2024-12-13 00:54:05,504 - INFO - retrieval costs: 3.1756722927093506
2024-12-13 00:54:05,631 - INFO - hamming distance computation costs: 0.12628793716430664
2024-12-13 00:54:05,743 - INFO - hamming ranking costs: 0.11202430725097656
2024-12-13 00:54:05,743 - INFO - labels shape: (1530, 51) and (3570, 51)
2024-12-13 00:54:05,947 - INFO - similarity labels generation costs: 0.20447874069213867
2024-12-13 00:54:05,972 - INFO - topK: 5:, map: 0.22045969498910675
2024-12-13 00:54:06,059 - INFO - topK: 20:, map: 0.15767047883171237
2024-12-13 00:54:06,229 - INFO - topK: 40:, map: 0.12104005343584444
2024-12-13 00:54:06,481 - INFO - topK: 60:, map: 0.09802605571369488
2024-12-13 00:54:06,815 - INFO - topK: 80:, map: 0.0820408153406517
2024-12-13 00:54:07,232 - INFO - topK: 100:, map: 0.07029264492988008
2024-12-13 00:54:07,359 - INFO - begin training stage: [41/350]
2024-12-13 00:54:10,850 - INFO - Epoch:[41/350] Step:[28/28] reconstruction_loss: 0.36 contra_loss: 3.20 contra_loss_cluster: 4.28
2024-12-13 00:54:11,151 - INFO - now the learning rate is: 0.00048359559988076336
2024-12-13 00:54:11,462 - INFO - begin training stage: [42/350]
2024-12-13 00:54:14,914 - INFO - Epoch:[42/350] Step:[28/28] reconstruction_loss: 0.36 contra_loss: 3.20 contra_loss_cluster: 4.23
2024-12-13 00:54:15,216 - INFO - now the learning rate is: 0.0004827952390426211
2024-12-13 00:54:15,516 - INFO - begin training stage: [43/350]
2024-12-13 00:54:18,978 - INFO - Epoch:[43/350] Step:[28/28] reconstruction_loss: 0.35 contra_loss: 3.22 contra_loss_cluster: 4.25
2024-12-13 00:54:19,250 - INFO - now the learning rate is: 0.0004819765252755069
2024-12-13 00:54:19,600 - INFO - begin training stage: [44/350]
2024-12-13 00:54:23,167 - INFO - Epoch:[44/350] Step:[28/28] reconstruction_loss: 0.35 contra_loss: 3.22 contra_loss_cluster: 4.24
2024-12-13 00:54:23,496 - INFO - now the learning rate is: 0.00048113952454127186
2024-12-13 00:54:23,835 - INFO - begin training stage: [45/350]
2024-12-13 00:54:27,375 - INFO - Epoch:[45/350] Step:[28/28] reconstruction_loss: 0.37 contra_loss: 3.20 contra_loss_cluster: 4.24
2024-12-13 00:54:27,686 - INFO - now the learning rate is: 0.00048028430427510493
2024-12-13 00:54:28,054 - INFO - begin training stage: [46/350]
2024-12-13 00:54:31,505 - INFO - Epoch:[46/350] Step:[28/28] reconstruction_loss: 0.36 contra_loss: 3.20 contra_loss_cluster: 4.22
2024-12-13 00:54:31,786 - INFO - now the learning rate is: 0.0004794109333801003
2024-12-13 00:54:32,163 - INFO - begin training stage: [47/350]
2024-12-13 00:54:35,603 - INFO - Epoch:[47/350] Step:[28/28] reconstruction_loss: 0.36 contra_loss: 3.21 contra_loss_cluster: 4.23
2024-12-13 00:54:35,895 - INFO - now the learning rate is: 0.0004785194822217058
2024-12-13 00:54:36,195 - INFO - begin training stage: [48/350]
2024-12-13 00:54:39,629 - INFO - Epoch:[48/350] Step:[28/28] reconstruction_loss: 0.34 contra_loss: 3.22 contra_loss_cluster: 4.21
2024-12-13 00:54:39,938 - INFO - now the learning rate is: 0.0004776100226220537
2024-12-13 00:54:40,251 - INFO - begin training stage: [49/350]
2024-12-13 00:54:43,761 - INFO - Epoch:[49/350] Step:[28/28] reconstruction_loss: 0.36 contra_loss: 3.19 contra_loss_cluster: 4.20
2024-12-13 00:54:44,038 - INFO - now the learning rate is: 0.0004766826278541742
2024-12-13 00:54:44,348 - INFO - begin training stage: [50/350]
2024-12-13 00:54:47,812 - INFO - Epoch:[50/350] Step:[28/28] reconstruction_loss: 0.35 contra_loss: 3.20 contra_loss_cluster: 4.17
2024-12-13 00:54:48,140 - INFO - now the learning rate is: 0.0004757373726360921
2024-12-13 00:54:48,468 - INFO - begin training stage: [51/350]
2024-12-13 00:54:50,016 - INFO - Epoch:[51/350] Step:[10/28] reconstruction_loss: 0.34 contra_loss: 3.31 contra_loss_cluster: 4.19
2024-12-13 00:54:51,375 - INFO - Epoch:[51/350] Step:[20/28] reconstruction_loss: 0.34 contra_loss: 3.32 contra_loss_cluster: 4.16
2024-12-13 00:54:52,761 - INFO - now the learning rate is: 0.0004747743331248068
2024-12-13 00:54:53,130 - INFO - begin training stage: [52/350]
2024-12-13 00:54:54,724 - INFO - Epoch:[52/350] Step:[10/28] reconstruction_loss: 0.36 contra_loss: 3.33 contra_loss_cluster: 4.18
2024-12-13 00:54:56,136 - INFO - Epoch:[52/350] Step:[20/28] reconstruction_loss: 0.34 contra_loss: 3.31 contra_loss_cluster: 4.16
2024-12-13 00:54:57,572 - INFO - now the learning rate is: 0.0004737935869101564
2024-12-13 00:54:57,890 - INFO - begin training stage: [53/350]
2024-12-13 00:54:59,447 - INFO - Epoch:[53/350] Step:[10/28] reconstruction_loss: 0.35 contra_loss: 3.30 contra_loss_cluster: 4.13
2024-12-13 00:55:00,836 - INFO - Epoch:[53/350] Step:[20/28] reconstruction_loss: 0.36 contra_loss: 3.32 contra_loss_cluster: 4.18
2024-12-13 00:55:02,194 - INFO - now the learning rate is: 0.0004727952130085668
2024-12-13 00:55:02,508 - INFO - begin training stage: [54/350]
2024-12-13 00:55:04,068 - INFO - Epoch:[54/350] Step:[10/28] reconstruction_loss: 0.35 contra_loss: 3.33 contra_loss_cluster: 4.13
2024-12-13 00:55:05,429 - INFO - Epoch:[54/350] Step:[20/28] reconstruction_loss: 0.36 contra_loss: 3.32 contra_loss_cluster: 4.15
2024-12-13 00:55:06,824 - INFO - now the learning rate is: 0.0004717792918566854
2024-12-13 00:55:07,136 - INFO - begin training stage: [55/350]
2024-12-13 00:55:08,705 - INFO - Epoch:[55/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.31 contra_loss_cluster: 4.12
2024-12-13 00:55:10,079 - INFO - Epoch:[55/350] Step:[20/28] reconstruction_loss: 0.35 contra_loss: 3.32 contra_loss_cluster: 4.15
2024-12-13 00:55:11,471 - INFO - now the learning rate is: 0.0004707459053049003
2024-12-13 00:55:11,784 - INFO - begin training stage: [56/350]
2024-12-13 00:55:13,368 - INFO - Epoch:[56/350] Step:[10/28] reconstruction_loss: 0.35 contra_loss: 3.31 contra_loss_cluster: 4.15
2024-12-13 00:55:14,722 - INFO - Epoch:[56/350] Step:[20/28] reconstruction_loss: 0.35 contra_loss: 3.30 contra_loss_cluster: 4.13
2024-12-13 00:55:16,149 - INFO - now the learning rate is: 0.000469695136610746
2024-12-13 00:55:16,461 - INFO - begin training stage: [57/350]
2024-12-13 00:55:18,012 - INFO - Epoch:[57/350] Step:[10/28] reconstruction_loss: 0.34 contra_loss: 3.32 contra_loss_cluster: 4.14
2024-12-13 00:55:19,366 - INFO - Epoch:[57/350] Step:[20/28] reconstruction_loss: 0.34 contra_loss: 3.30 contra_loss_cluster: 4.12
2024-12-13 00:55:20,726 - INFO - now the learning rate is: 0.0004686270704321957
2024-12-13 00:55:21,035 - INFO - begin training stage: [58/350]
2024-12-13 00:55:22,622 - INFO - Epoch:[58/350] Step:[10/28] reconstruction_loss: 0.34 contra_loss: 3.32 contra_loss_cluster: 4.12
2024-12-13 00:55:23,985 - INFO - Epoch:[58/350] Step:[20/28] reconstruction_loss: 0.33 contra_loss: 3.31 contra_loss_cluster: 4.13
2024-12-13 00:55:25,356 - INFO - now the learning rate is: 0.0004675417928208402
2024-12-13 00:55:25,667 - INFO - begin training stage: [59/350]
2024-12-13 00:55:27,202 - INFO - Epoch:[59/350] Step:[10/28] reconstruction_loss: 0.33 contra_loss: 3.32 contra_loss_cluster: 4.10
2024-12-13 00:55:28,587 - INFO - Epoch:[59/350] Step:[20/28] reconstruction_loss: 0.33 contra_loss: 3.31 contra_loss_cluster: 4.09
2024-12-13 00:55:29,958 - INFO - now the learning rate is: 0.0004664393912149552
2024-12-13 00:55:30,279 - INFO - begin training stage: [60/350]
2024-12-13 00:55:31,827 - INFO - Epoch:[60/350] Step:[10/28] reconstruction_loss: 0.35 contra_loss: 3.31 contra_loss_cluster: 4.11
2024-12-13 00:55:33,179 - INFO - Epoch:[60/350] Step:[20/28] reconstruction_loss: 0.35 contra_loss: 3.30 contra_loss_cluster: 4.11
2024-12-13 00:55:34,573 - INFO - now the learning rate is: 0.00046531995443245663
2024-12-13 00:55:34,892 - INFO - eval data number: 3570
2024-12-13 00:55:36,921 - INFO - loading query data ......
2024-12-13 00:55:38,032 - INFO - retrieval costs: 3.139249086380005
2024-12-13 00:55:38,196 - INFO - hamming distance computation costs: 0.16387176513671875
2024-12-13 00:55:38,322 - INFO - hamming ranking costs: 0.12613916397094727
2024-12-13 00:55:38,322 - INFO - labels shape: (1530, 51) and (3570, 51)
2024-12-13 00:55:38,520 - INFO - similarity labels generation costs: 0.19814467430114746
2024-12-13 00:55:38,545 - INFO - topK: 5:, map: 0.23105882352941176
2024-12-13 00:55:38,632 - INFO - topK: 20:, map: 0.16386094667511228
2024-12-13 00:55:38,800 - INFO - topK: 40:, map: 0.126816148689326
2024-12-13 00:55:39,050 - INFO - topK: 60:, map: 0.10293842480392751
2024-12-13 00:55:39,387 - INFO - topK: 80:, map: 0.08586937926730148
2024-12-13 00:55:39,809 - INFO - topK: 100:, map: 0.07369034473612908
2024-12-13 00:55:39,936 - INFO - begin training stage: [61/350]
2024-12-13 00:55:41,550 - INFO - Epoch:[61/350] Step:[10/28] reconstruction_loss: 0.34 contra_loss: 3.31 contra_loss_cluster: 4.10
2024-12-13 00:55:42,923 - INFO - Epoch:[61/350] Step:[20/28] reconstruction_loss: 0.36 contra_loss: 3.32 contra_loss_cluster: 4.09
2024-12-13 00:55:44,322 - INFO - now the learning rate is: 0.0004641835726637445
2024-12-13 00:55:44,664 - INFO - begin training stage: [62/350]
2024-12-13 00:55:46,214 - INFO - Epoch:[62/350] Step:[10/28] reconstruction_loss: 0.35 contra_loss: 3.32 contra_loss_cluster: 4.08
2024-12-13 00:55:47,574 - INFO - Epoch:[62/350] Step:[20/28] reconstruction_loss: 0.34 contra_loss: 3.31 contra_loss_cluster: 4.07
2024-12-13 00:55:49,087 - INFO - now the learning rate is: 0.00046303033746443695
2024-12-13 00:55:49,420 - INFO - begin training stage: [63/350]
2024-12-13 00:55:50,980 - INFO - Epoch:[63/350] Step:[10/28] reconstruction_loss: 0.33 contra_loss: 3.33 contra_loss_cluster: 4.07
2024-12-13 00:55:52,321 - INFO - Epoch:[63/350] Step:[20/28] reconstruction_loss: 0.33 contra_loss: 3.32 contra_loss_cluster: 4.06
2024-12-13 00:55:53,732 - INFO - now the learning rate is: 0.0004618603417479932
2024-12-13 00:55:54,062 - INFO - begin training stage: [64/350]
2024-12-13 00:55:55,593 - INFO - Epoch:[64/350] Step:[10/28] reconstruction_loss: 0.34 contra_loss: 3.31 contra_loss_cluster: 4.07
2024-12-13 00:55:56,941 - INFO - Epoch:[64/350] Step:[20/28] reconstruction_loss: 0.34 contra_loss: 3.32 contra_loss_cluster: 4.07
2024-12-13 00:55:58,306 - INFO - now the learning rate is: 0.00046067367977822843
2024-12-13 00:55:58,614 - INFO - begin training stage: [65/350]
2024-12-13 00:56:00,178 - INFO - Epoch:[65/350] Step:[10/28] reconstruction_loss: 0.33 contra_loss: 3.31 contra_loss_cluster: 4.06
2024-12-13 00:56:01,557 - INFO - Epoch:[65/350] Step:[20/28] reconstruction_loss: 0.35 contra_loss: 3.31 contra_loss_cluster: 4.08
2024-12-13 00:56:03,046 - INFO - now the learning rate is: 0.00045947044716171864
2024-12-13 00:56:03,386 - INFO - begin training stage: [66/350]
2024-12-13 00:56:04,974 - INFO - Epoch:[66/350] Step:[10/28] reconstruction_loss: 0.34 contra_loss: 3.31 contra_loss_cluster: 4.05
2024-12-13 00:56:06,362 - INFO - Epoch:[66/350] Step:[20/28] reconstruction_loss: 0.34 contra_loss: 3.31 contra_loss_cluster: 4.06
2024-12-13 00:56:07,754 - INFO - now the learning rate is: 0.0004582507408400982
2024-12-13 00:56:08,064 - INFO - begin training stage: [67/350]
2024-12-13 00:56:09,607 - INFO - Epoch:[67/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.31 contra_loss_cluster: 4.02
2024-12-13 00:56:10,974 - INFO - Epoch:[67/350] Step:[20/28] reconstruction_loss: 0.35 contra_loss: 3.29 contra_loss_cluster: 4.04
2024-12-13 00:56:12,337 - INFO - now the learning rate is: 0.00045701465908224906
2024-12-13 00:56:12,644 - INFO - begin training stage: [68/350]
2024-12-13 00:56:14,165 - INFO - Epoch:[68/350] Step:[10/28] reconstruction_loss: 0.33 contra_loss: 3.31 contra_loss_cluster: 4.06
2024-12-13 00:56:15,510 - INFO - Epoch:[68/350] Step:[20/28] reconstruction_loss: 0.34 contra_loss: 3.31 contra_loss_cluster: 4.02
2024-12-13 00:56:16,861 - INFO - now the learning rate is: 0.0004557623014763839
2024-12-13 00:56:17,234 - INFO - begin training stage: [69/350]
2024-12-13 00:56:18,835 - INFO - Epoch:[69/350] Step:[10/28] reconstruction_loss: 0.33 contra_loss: 3.30 contra_loss_cluster: 4.01
2024-12-13 00:56:20,221 - INFO - Epoch:[69/350] Step:[20/28] reconstruction_loss: 0.33 contra_loss: 3.31 contra_loss_cluster: 4.02
2024-12-13 00:56:21,632 - INFO - now the learning rate is: 0.00045449376892202234
2024-12-13 00:56:21,944 - INFO - begin training stage: [70/350]
2024-12-13 00:56:23,567 - INFO - Epoch:[70/350] Step:[10/28] reconstruction_loss: 0.33 contra_loss: 3.32 contra_loss_cluster: 4.01
2024-12-13 00:56:24,963 - INFO - Epoch:[70/350] Step:[20/28] reconstruction_loss: 0.33 contra_loss: 3.32 contra_loss_cluster: 3.97
2024-12-13 00:56:26,349 - INFO - now the learning rate is: 0.00045320916362186176
2024-12-13 00:56:26,727 - INFO - begin training stage: [71/350]
2024-12-13 00:56:28,268 - INFO - Epoch:[71/350] Step:[10/28] reconstruction_loss: 0.34 contra_loss: 3.30 contra_loss_cluster: 4.02
2024-12-13 00:56:29,607 - INFO - Epoch:[71/350] Step:[20/28] reconstruction_loss: 0.34 contra_loss: 3.31 contra_loss_cluster: 4.00
2024-12-13 00:56:30,958 - INFO - now the learning rate is: 0.0004519085890735428
2024-12-13 00:56:31,287 - INFO - begin training stage: [72/350]
2024-12-13 00:56:32,862 - INFO - Epoch:[72/350] Step:[10/28] reconstruction_loss: 0.33 contra_loss: 3.31 contra_loss_cluster: 3.96
2024-12-13 00:56:34,251 - INFO - Epoch:[72/350] Step:[20/28] reconstruction_loss: 0.34 contra_loss: 3.30 contra_loss_cluster: 3.98
2024-12-13 00:56:35,661 - INFO - now the learning rate is: 0.00045059215006131145
2024-12-13 00:56:35,986 - INFO - begin training stage: [73/350]
2024-12-13 00:56:37,583 - INFO - Epoch:[73/350] Step:[10/28] reconstruction_loss: 0.33 contra_loss: 3.30 contra_loss_cluster: 3.95
2024-12-13 00:56:38,921 - INFO - Epoch:[73/350] Step:[20/28] reconstruction_loss: 0.34 contra_loss: 3.31 contra_loss_cluster: 3.97
2024-12-13 00:56:40,327 - INFO - now the learning rate is: 0.00044925995264757603
2024-12-13 00:56:40,635 - INFO - begin training stage: [74/350]
2024-12-13 00:56:42,186 - INFO - Epoch:[74/350] Step:[10/28] reconstruction_loss: 0.33 contra_loss: 3.30 contra_loss_cluster: 3.97
2024-12-13 00:56:43,538 - INFO - Epoch:[74/350] Step:[20/28] reconstruction_loss: 0.33 contra_loss: 3.32 contra_loss_cluster: 3.97
2024-12-13 00:56:44,923 - INFO - now the learning rate is: 0.00044791210416436254
2024-12-13 00:56:45,227 - INFO - begin training stage: [75/350]
2024-12-13 00:56:46,866 - INFO - Epoch:[75/350] Step:[10/28] reconstruction_loss: 0.34 contra_loss: 3.29 contra_loss_cluster: 3.98
2024-12-13 00:56:48,256 - INFO - Epoch:[75/350] Step:[20/28] reconstruction_loss: 0.33 contra_loss: 3.30 contra_loss_cluster: 3.99
2024-12-13 00:56:49,670 - INFO - now the learning rate is: 0.0004465487132046669
2024-12-13 00:56:49,997 - INFO - begin training stage: [76/350]
2024-12-13 00:56:51,600 - INFO - Epoch:[76/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.30 contra_loss_cluster: 3.96
2024-12-13 00:56:52,959 - INFO - Epoch:[76/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.32 contra_loss_cluster: 3.98
2024-12-13 00:56:54,319 - INFO - now the learning rate is: 0.0004451698896137061
2024-12-13 00:56:54,637 - INFO - begin training stage: [77/350]
2024-12-13 00:56:56,195 - INFO - Epoch:[77/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.32 contra_loss_cluster: 3.93
2024-12-13 00:56:57,560 - INFO - Epoch:[77/350] Step:[20/28] reconstruction_loss: 0.34 contra_loss: 3.29 contra_loss_cluster: 3.96
2024-12-13 00:56:58,947 - INFO - now the learning rate is: 0.00044377574448006797
2024-12-13 00:56:59,265 - INFO - begin training stage: [78/350]
2024-12-13 00:57:01,360 - INFO - Epoch:[78/350] Step:[10/28] reconstruction_loss: 0.33 contra_loss: 3.30 contra_loss_cluster: 3.97
2024-12-13 00:57:02,770 - INFO - Epoch:[78/350] Step:[20/28] reconstruction_loss: 0.33 contra_loss: 3.30 contra_loss_cluster: 3.95
2024-12-13 00:57:04,186 - INFO - now the learning rate is: 0.0004423663901267612
2024-12-13 00:57:04,496 - INFO - begin training stage: [79/350]
2024-12-13 00:57:06,031 - INFO - Epoch:[79/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.30 contra_loss_cluster: 3.96
2024-12-13 00:57:07,383 - INFO - Epoch:[79/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.30 contra_loss_cluster: 3.89
2024-12-13 00:57:08,752 - INFO - now the learning rate is: 0.0004409419401021657
2024-12-13 00:57:09,075 - INFO - begin training stage: [80/350]
2024-12-13 00:57:10,657 - INFO - Epoch:[80/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.88
2024-12-13 00:57:12,077 - INFO - Epoch:[80/350] Step:[20/28] reconstruction_loss: 0.33 contra_loss: 3.31 contra_loss_cluster: 3.92
2024-12-13 00:57:13,471 - INFO - now the learning rate is: 0.0004395025091708843
2024-12-13 00:57:13,786 - INFO - eval data number: 3570
2024-12-13 00:57:15,983 - INFO - loading query data ......
2024-12-13 00:57:17,227 - INFO - retrieval costs: 3.4395363330841064
2024-12-13 00:57:17,376 - INFO - hamming distance computation costs: 0.14928340911865234
2024-12-13 00:57:17,485 - INFO - hamming ranking costs: 0.10952401161193848
2024-12-13 00:57:17,486 - INFO - labels shape: (1530, 51) and (3570, 51)
2024-12-13 00:57:17,690 - INFO - similarity labels generation costs: 0.20467877388000488
2024-12-13 00:57:17,715 - INFO - topK: 5:, map: 0.24046405228758172
2024-12-13 00:57:17,804 - INFO - topK: 20:, map: 0.1708902890775235
2024-12-13 00:57:17,980 - INFO - topK: 40:, map: 0.13237768458792173
2024-12-13 00:57:18,234 - INFO - topK: 60:, map: 0.10765204446291979
2024-12-13 00:57:18,574 - INFO - topK: 80:, map: 0.0898864225852295
2024-12-13 00:57:18,995 - INFO - topK: 100:, map: 0.0769528106338674
2024-12-13 00:57:19,130 - INFO - begin training stage: [81/350]
2024-12-13 00:57:20,707 - INFO - Epoch:[81/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.28 contra_loss_cluster: 3.87
2024-12-13 00:57:22,035 - INFO - Epoch:[81/350] Step:[20/28] reconstruction_loss: 0.33 contra_loss: 3.29 contra_loss_cluster: 3.92
2024-12-13 00:57:23,400 - INFO - now the learning rate is: 0.00043804821330449626
2024-12-13 00:57:23,713 - INFO - begin training stage: [82/350]
2024-12-13 00:57:25,268 - INFO - Epoch:[82/350] Step:[10/28] reconstruction_loss: 0.33 contra_loss: 3.29 contra_loss_cluster: 3.91
2024-12-13 00:57:26,649 - INFO - Epoch:[82/350] Step:[20/28] reconstruction_loss: 0.34 contra_loss: 3.28 contra_loss_cluster: 3.91
2024-12-13 00:57:28,027 - INFO - now the learning rate is: 0.00043657916967221403
2024-12-13 00:57:28,357 - INFO - begin training stage: [83/350]
2024-12-13 00:57:29,893 - INFO - Epoch:[83/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.31 contra_loss_cluster: 3.87
2024-12-13 00:57:31,240 - INFO - Epoch:[83/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.30 contra_loss_cluster: 3.90
2024-12-13 00:57:32,605 - INFO - now the learning rate is: 0.0004350954966314429
2024-12-13 00:57:32,916 - INFO - begin training stage: [84/350]
2024-12-13 00:57:34,461 - INFO - Epoch:[84/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.30 contra_loss_cluster: 3.86
2024-12-13 00:57:35,794 - INFO - Epoch:[84/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.30 contra_loss_cluster: 3.88
2024-12-13 00:57:37,133 - INFO - now the learning rate is: 0.0004335973137182454
2024-12-13 00:57:37,460 - INFO - begin training stage: [85/350]
2024-12-13 00:57:38,998 - INFO - Epoch:[85/350] Step:[10/28] reconstruction_loss: 0.34 contra_loss: 3.30 contra_loss_cluster: 3.86
2024-12-13 00:57:40,319 - INFO - Epoch:[85/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.30 contra_loss_cluster: 3.86
2024-12-13 00:57:41,703 - INFO - now the learning rate is: 0.0004320847416377105
2024-12-13 00:57:42,003 - INFO - begin training stage: [86/350]
2024-12-13 00:57:43,551 - INFO - Epoch:[86/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.86
2024-12-13 00:57:44,903 - INFO - Epoch:[86/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.30 contra_loss_cluster: 3.82
2024-12-13 00:57:46,319 - INFO - now the learning rate is: 0.0004305579022542287
2024-12-13 00:57:46,629 - INFO - begin training stage: [87/350]
2024-12-13 00:57:48,214 - INFO - Epoch:[87/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.30 contra_loss_cluster: 3.83
2024-12-13 00:57:49,578 - INFO - Epoch:[87/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.29 contra_loss_cluster: 3.83
2024-12-13 00:57:50,945 - INFO - now the learning rate is: 0.00042901691858167356
2024-12-13 00:57:51,303 - INFO - begin training stage: [88/350]
2024-12-13 00:57:52,863 - INFO - Epoch:[88/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.30 contra_loss_cluster: 3.82
2024-12-13 00:57:54,202 - INFO - Epoch:[88/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.30 contra_loss_cluster: 3.84
2024-12-13 00:57:55,545 - INFO - now the learning rate is: 0.00042746191477349113
2024-12-13 00:57:55,860 - INFO - begin training stage: [89/350]
2024-12-13 00:57:57,402 - INFO - Epoch:[89/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.30 contra_loss_cluster: 3.82
2024-12-13 00:57:58,729 - INFO - Epoch:[89/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.29 contra_loss_cluster: 3.82
2024-12-13 00:58:00,111 - INFO - now the learning rate is: 0.0004258930161126967
2024-12-13 00:58:00,420 - INFO - begin training stage: [90/350]
2024-12-13 00:58:01,983 - INFO - Epoch:[90/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.31 contra_loss_cluster: 3.87
2024-12-13 00:58:03,330 - INFO - Epoch:[90/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.31 contra_loss_cluster: 3.82
2024-12-13 00:58:04,737 - INFO - now the learning rate is: 0.0004243103490017815
2024-12-13 00:58:05,097 - INFO - begin training stage: [91/350]
2024-12-13 00:58:06,650 - INFO - Epoch:[91/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.31 contra_loss_cluster: 3.83
2024-12-13 00:58:08,016 - INFO - Epoch:[91/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.29 contra_loss_cluster: 3.77
2024-12-13 00:58:09,403 - INFO - now the learning rate is: 0.00042271404095252835
2024-12-13 00:58:09,714 - INFO - begin training stage: [92/350]
2024-12-13 00:58:11,255 - INFO - Epoch:[92/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.29 contra_loss_cluster: 3.79
2024-12-13 00:58:12,628 - INFO - Epoch:[92/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.32 contra_loss_cluster: 3.81
2024-12-13 00:58:14,012 - INFO - now the learning rate is: 0.00042110422057573877
2024-12-13 00:58:14,323 - INFO - begin training stage: [93/350]
2024-12-13 00:58:15,920 - INFO - Epoch:[93/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.76
2024-12-13 00:58:17,317 - INFO - Epoch:[93/350] Step:[20/28] reconstruction_loss: 0.33 contra_loss: 3.29 contra_loss_cluster: 3.74
2024-12-13 00:58:18,686 - INFO - now the learning rate is: 0.0004194810175708707
2024-12-13 00:58:18,999 - INFO - begin training stage: [94/350]
2024-12-13 00:58:20,527 - INFO - Epoch:[94/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.31 contra_loss_cluster: 3.78
2024-12-13 00:58:21,866 - INFO - Epoch:[94/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.29 contra_loss_cluster: 3.79
2024-12-13 00:58:23,219 - INFO - now the learning rate is: 0.000417844562715589
2024-12-13 00:58:23,520 - INFO - begin training stage: [95/350]
2024-12-13 00:58:25,085 - INFO - Epoch:[95/350] Step:[10/28] reconstruction_loss: 0.33 contra_loss: 3.29 contra_loss_cluster: 3.79
2024-12-13 00:58:26,523 - INFO - Epoch:[95/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.30 contra_loss_cluster: 3.79
2024-12-13 00:58:27,971 - INFO - now the learning rate is: 0.00041619498785522925
2024-12-13 00:58:28,284 - INFO - begin training stage: [96/350]
2024-12-13 00:58:29,848 - INFO - Epoch:[96/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.31 contra_loss_cluster: 3.79
2024-12-13 00:58:31,203 - INFO - Epoch:[96/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.29 contra_loss_cluster: 3.76
2024-12-13 00:58:32,549 - INFO - now the learning rate is: 0.0004145324258921752
2024-12-13 00:58:32,869 - INFO - begin training stage: [97/350]
2024-12-13 00:58:34,414 - INFO - Epoch:[97/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.30 contra_loss_cluster: 3.78
2024-12-13 00:58:35,775 - INFO - Epoch:[97/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.31 contra_loss_cluster: 3.68
2024-12-13 00:58:37,158 - INFO - now the learning rate is: 0.0004128570107751508
2024-12-13 00:58:37,465 - INFO - begin training stage: [98/350]
2024-12-13 00:58:39,028 - INFO - Epoch:[98/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.30 contra_loss_cluster: 3.72
2024-12-13 00:58:40,396 - INFO - Epoch:[98/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.30 contra_loss_cluster: 3.72
2024-12-13 00:58:41,770 - INFO - now the learning rate is: 0.0004111688774884287
2024-12-13 00:58:42,076 - INFO - begin training stage: [99/350]
2024-12-13 00:58:43,614 - INFO - Epoch:[99/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.72
2024-12-13 00:58:44,964 - INFO - Epoch:[99/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.70
2024-12-13 00:58:46,333 - INFO - now the learning rate is: 0.00040946816204095456
2024-12-13 00:58:46,636 - INFO - begin training stage: [100/350]
2024-12-13 00:58:48,247 - INFO - Epoch:[100/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.29 contra_loss_cluster: 3.69
2024-12-13 00:58:49,675 - INFO - Epoch:[100/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.68
2024-12-13 00:58:51,117 - INFO - now the learning rate is: 0.00040775500145538945
2024-12-13 00:58:51,413 - INFO - eval data number: 3570
2024-12-13 00:58:53,510 - INFO - loading query data ......
2024-12-13 00:58:54,691 - INFO - retrieval costs: 3.2776734828948975
2024-12-13 00:58:54,816 - INFO - hamming distance computation costs: 0.12484312057495117
2024-12-13 00:58:54,928 - INFO - hamming ranking costs: 0.11250495910644531
2024-12-13 00:58:54,929 - INFO - labels shape: (1530, 51) and (3570, 51)
2024-12-13 00:58:55,133 - INFO - similarity labels generation costs: 0.2041938304901123
2024-12-13 00:58:55,159 - INFO - topK: 5:, map: 0.24805228758169934
2024-12-13 00:58:55,250 - INFO - topK: 20:, map: 0.18030555634127007
2024-12-13 00:58:55,419 - INFO - topK: 40:, map: 0.1402669353505098
2024-12-13 00:58:55,670 - INFO - topK: 60:, map: 0.11255528542256288
2024-12-13 00:58:56,004 - INFO - topK: 80:, map: 0.09328965341967625
2024-12-13 00:58:56,412 - INFO - topK: 100:, map: 0.07935010562760877
2024-12-13 00:58:56,538 - INFO - begin training stage: [101/350]
2024-12-13 00:58:58,109 - INFO - Epoch:[101/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.74
2024-12-13 00:58:59,456 - INFO - Epoch:[101/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.29 contra_loss_cluster: 3.69
2024-12-13 00:59:00,825 - INFO - now the learning rate is: 0.00040602953375706987
2024-12-13 00:59:01,136 - INFO - begin training stage: [102/350]
2024-12-13 00:59:02,718 - INFO - Epoch:[102/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.71
2024-12-13 00:59:04,075 - INFO - Epoch:[102/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.67
2024-12-13 00:59:05,499 - INFO - now the learning rate is: 0.0004042918979628878
2024-12-13 00:59:05,808 - INFO - begin training stage: [103/350]
2024-12-13 00:59:07,369 - INFO - Epoch:[103/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.29 contra_loss_cluster: 3.64
2024-12-13 00:59:08,849 - INFO - Epoch:[103/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.30 contra_loss_cluster: 3.63
2024-12-13 00:59:10,328 - INFO - now the learning rate is: 0.00040254223407008995
2024-12-13 00:59:10,688 - INFO - begin training stage: [104/350]
2024-12-13 00:59:12,298 - INFO - Epoch:[104/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.30 contra_loss_cluster: 3.68
2024-12-13 00:59:13,699 - INFO - Epoch:[104/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.29 contra_loss_cluster: 3.63
2024-12-13 00:59:15,120 - INFO - now the learning rate is: 0.0004007806830449989
2024-12-13 00:59:15,432 - INFO - begin training stage: [105/350]
2024-12-13 00:59:17,048 - INFO - Epoch:[105/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.30 contra_loss_cluster: 3.69
2024-12-13 00:59:18,461 - INFO - Epoch:[105/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.31 contra_loss_cluster: 3.67
2024-12-13 00:59:19,864 - INFO - now the learning rate is: 0.00039900738681165573
2024-12-13 00:59:20,171 - INFO - begin training stage: [106/350]
2024-12-13 00:59:21,765 - INFO - Epoch:[106/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.60
2024-12-13 00:59:23,164 - INFO - Epoch:[106/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.27 contra_loss_cluster: 3.64
2024-12-13 00:59:24,585 - INFO - now the learning rate is: 0.00039722248824038527
2024-12-13 00:59:24,907 - INFO - begin training stage: [107/350]
2024-12-13 00:59:26,495 - INFO - Epoch:[107/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.30 contra_loss_cluster: 3.63
2024-12-13 00:59:27,900 - INFO - Epoch:[107/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.29 contra_loss_cluster: 3.68
2024-12-13 00:59:29,294 - INFO - now the learning rate is: 0.00039542613113628574
2024-12-13 00:59:29,604 - INFO - begin training stage: [108/350]
2024-12-13 00:59:31,165 - INFO - Epoch:[108/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.28 contra_loss_cluster: 3.61
2024-12-13 00:59:32,513 - INFO - Epoch:[108/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.27 contra_loss_cluster: 3.62
2024-12-13 00:59:33,885 - INFO - now the learning rate is: 0.00039361846022764233
2024-12-13 00:59:34,195 - INFO - begin training stage: [109/350]
2024-12-13 00:59:35,752 - INFO - Epoch:[109/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.30 contra_loss_cluster: 3.61
2024-12-13 00:59:37,090 - INFO - Epoch:[109/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.30 contra_loss_cluster: 3.63
2024-12-13 00:59:38,429 - INFO - now the learning rate is: 0.0003917996211542671
2024-12-13 00:59:38,761 - INFO - begin training stage: [110/350]
2024-12-13 00:59:40,282 - INFO - Epoch:[110/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.66
2024-12-13 00:59:41,624 - INFO - Epoch:[110/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.61
2024-12-13 00:59:42,978 - INFO - now the learning rate is: 0.0003899697604557649
2024-12-13 00:59:43,292 - INFO - begin training stage: [111/350]
2024-12-13 00:59:44,835 - INFO - Epoch:[111/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.66
2024-12-13 00:59:46,199 - INFO - Epoch:[111/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.63
2024-12-13 00:59:47,565 - INFO - now the learning rate is: 0.0003881290255597272
2024-12-13 00:59:47,879 - INFO - begin training stage: [112/350]
2024-12-13 00:59:49,418 - INFO - Epoch:[112/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.30 contra_loss_cluster: 3.62
2024-12-13 00:59:50,776 - INFO - Epoch:[112/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.30 contra_loss_cluster: 3.64
2024-12-13 00:59:52,156 - INFO - now the learning rate is: 0.000386277564769854
2024-12-13 00:59:52,467 - INFO - begin training stage: [113/350]
2024-12-13 00:59:54,016 - INFO - Epoch:[113/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.60
2024-12-13 00:59:55,388 - INFO - Epoch:[113/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.61
2024-12-13 00:59:56,754 - INFO - now the learning rate is: 0.0003844155272540056
2024-12-13 00:59:57,065 - INFO - begin training stage: [114/350]
2024-12-13 00:59:58,623 - INFO - Epoch:[114/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.28 contra_loss_cluster: 3.61
2024-12-13 00:59:59,981 - INFO - Epoch:[114/350] Step:[20/28] reconstruction_loss: 0.32 contra_loss: 3.29 contra_loss_cluster: 3.59
2024-12-13 01:00:01,368 - INFO - now the learning rate is: 0.00038254306303218396
2024-12-13 01:00:01,675 - INFO - begin training stage: [115/350]
2024-12-13 01:00:03,203 - INFO - Epoch:[115/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.59
2024-12-13 01:00:04,556 - INFO - Epoch:[115/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.28 contra_loss_cluster: 3.55
2024-12-13 01:00:05,939 - INFO - now the learning rate is: 0.00038066032296444686
2024-12-13 01:00:06,254 - INFO - begin training stage: [116/350]
2024-12-13 01:00:07,863 - INFO - Epoch:[116/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.28 contra_loss_cluster: 3.62
2024-12-13 01:00:09,259 - INFO - Epoch:[116/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.30 contra_loss_cluster: 3.53
2024-12-13 01:00:10,679 - INFO - now the learning rate is: 0.00037876745873875257
2024-12-13 01:00:10,991 - INFO - begin training stage: [117/350]
2024-12-13 01:00:12,603 - INFO - Epoch:[117/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.54
2024-12-13 01:00:14,001 - INFO - Epoch:[117/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.28 contra_loss_cluster: 3.51
2024-12-13 01:00:15,425 - INFO - now the learning rate is: 0.0003768646228587392
2024-12-13 01:00:15,740 - INFO - begin training stage: [118/350]
2024-12-13 01:00:17,366 - INFO - Epoch:[118/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.57
2024-12-13 01:00:18,759 - INFO - Epoch:[118/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.30 contra_loss_cluster: 3.51
2024-12-13 01:00:20,176 - INFO - now the learning rate is: 0.0003749519686314377
2024-12-13 01:00:20,487 - INFO - begin training stage: [119/350]
2024-12-13 01:00:22,057 - INFO - Epoch:[119/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.47
2024-12-13 01:00:23,416 - INFO - Epoch:[119/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.56
2024-12-13 01:00:24,811 - INFO - now the learning rate is: 0.00037302965015492006
2024-12-13 01:00:25,120 - INFO - begin training stage: [120/350]
2024-12-13 01:00:26,671 - INFO - Epoch:[120/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.56
2024-12-13 01:00:28,019 - INFO - Epoch:[120/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.56
2024-12-13 01:00:29,389 - INFO - now the learning rate is: 0.0003710978223058845
2024-12-13 01:00:29,706 - INFO - eval data number: 3570
2024-12-13 01:00:31,765 - INFO - loading query data ......
2024-12-13 01:00:32,987 - INFO - retrieval costs: 3.280325412750244
2024-12-13 01:00:33,129 - INFO - hamming distance computation costs: 0.142136812210083
2024-12-13 01:00:33,242 - INFO - hamming ranking costs: 0.11328744888305664
2024-12-13 01:00:33,242 - INFO - labels shape: (1530, 51) and (3570, 51)
2024-12-13 01:00:33,443 - INFO - similarity labels generation costs: 0.20076537132263184
2024-12-13 01:00:33,468 - INFO - topK: 5:, map: 0.2519193899782135
2024-12-13 01:00:33,557 - INFO - topK: 20:, map: 0.18627270368739365
2024-12-13 01:00:33,726 - INFO - topK: 40:, map: 0.1456930974236912
2024-12-13 01:00:33,978 - INFO - topK: 60:, map: 0.11891859964771086
2024-12-13 01:00:34,311 - INFO - topK: 80:, map: 0.09858453635077112
2024-12-13 01:00:34,724 - INFO - topK: 100:, map: 0.08400412629628058
2024-12-13 01:00:34,859 - INFO - begin training stage: [121/350]
2024-12-13 01:00:36,432 - INFO - Epoch:[121/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.29 contra_loss_cluster: 3.57
2024-12-13 01:00:37,780 - INFO - Epoch:[121/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.53
2024-12-13 01:00:39,135 - INFO - now the learning rate is: 0.00036915664072717687
2024-12-13 01:00:39,444 - INFO - begin training stage: [122/350]
2024-12-13 01:00:40,976 - INFO - Epoch:[122/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.51
2024-12-13 01:00:42,322 - INFO - Epoch:[122/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.30 contra_loss_cluster: 3.44
2024-12-13 01:00:43,695 - INFO - now the learning rate is: 0.00036720626181525136
2024-12-13 01:00:44,007 - INFO - begin training stage: [123/350]
2024-12-13 01:00:45,549 - INFO - Epoch:[123/350] Step:[10/28] reconstruction_loss: 0.32 contra_loss: 3.28 contra_loss_cluster: 3.51
2024-12-13 01:00:46,897 - INFO - Epoch:[123/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.49
2024-12-13 01:00:48,253 - INFO - now the learning rate is: 0.0003652468427075695
2024-12-13 01:00:48,576 - INFO - begin training stage: [124/350]
2024-12-13 01:00:50,114 - INFO - Epoch:[124/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.48
2024-12-13 01:00:51,461 - INFO - Epoch:[124/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.45
2024-12-13 01:00:52,837 - INFO - now the learning rate is: 0.0003632785412699404
2024-12-13 01:00:53,152 - INFO - begin training stage: [125/350]
2024-12-13 01:00:54,679 - INFO - Epoch:[125/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 3.42
2024-12-13 01:00:56,029 - INFO - Epoch:[125/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.48
2024-12-13 01:00:57,377 - INFO - now the learning rate is: 0.0003613015160838015
2024-12-13 01:00:57,696 - INFO - begin training stage: [126/350]
2024-12-13 01:00:59,256 - INFO - Epoch:[126/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.30 contra_loss_cluster: 3.44
2024-12-13 01:01:00,609 - INFO - Epoch:[126/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.44
2024-12-13 01:01:01,997 - INFO - now the learning rate is: 0.00035931592643344257
2024-12-13 01:01:02,311 - INFO - begin training stage: [127/350]
2024-12-13 01:01:03,893 - INFO - Epoch:[127/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.51
2024-12-13 01:01:05,253 - INFO - Epoch:[127/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.30 contra_loss_cluster: 3.39
2024-12-13 01:01:06,620 - INFO - now the learning rate is: 0.0003573219322931719
2024-12-13 01:01:06,942 - INFO - begin training stage: [128/350]
2024-12-13 01:01:08,518 - INFO - Epoch:[128/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.28 contra_loss_cluster: 3.51
2024-12-13 01:01:09,897 - INFO - Epoch:[128/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.44
2024-12-13 01:01:11,340 - INFO - now the learning rate is: 0.000355319694314428
2024-12-13 01:01:11,700 - INFO - begin training stage: [129/350]
2024-12-13 01:01:13,251 - INFO - Epoch:[129/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.42
2024-12-13 01:01:14,605 - INFO - Epoch:[129/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.47
2024-12-13 01:01:15,955 - INFO - now the learning rate is: 0.000353309373812836
2024-12-13 01:01:16,266 - INFO - begin training stage: [130/350]
2024-12-13 01:01:17,795 - INFO - Epoch:[130/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.42
2024-12-13 01:01:19,152 - INFO - Epoch:[130/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.27 contra_loss_cluster: 3.42
2024-12-13 01:01:20,527 - INFO - now the learning rate is: 0.0003512911327552111
2024-12-13 01:01:20,835 - INFO - begin training stage: [131/350]
2024-12-13 01:01:22,462 - INFO - Epoch:[131/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.40
2024-12-13 01:01:23,954 - INFO - Epoch:[131/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.43
2024-12-13 01:01:25,453 - INFO - now the learning rate is: 0.00034926513374650917
2024-12-13 01:01:25,818 - INFO - begin training stage: [132/350]
2024-12-13 01:01:27,443 - INFO - Epoch:[132/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.36
2024-12-13 01:01:28,880 - INFO - Epoch:[132/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.28 contra_loss_cluster: 3.41
2024-12-13 01:01:30,263 - INFO - now the learning rate is: 0.00034723154001672587
2024-12-13 01:01:30,572 - INFO - begin training stage: [133/350]
2024-12-13 01:01:32,130 - INFO - Epoch:[133/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.37
2024-12-13 01:01:33,492 - INFO - Epoch:[133/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.36
2024-12-13 01:01:34,854 - INFO - now the learning rate is: 0.000345190515407746
2024-12-13 01:01:35,193 - INFO - begin training stage: [134/350]
2024-12-13 01:01:36,817 - INFO - Epoch:[134/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.43
2024-12-13 01:01:38,240 - INFO - Epoch:[134/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.38
2024-12-13 01:01:39,676 - INFO - now the learning rate is: 0.0003431422243601426
2024-12-13 01:01:40,005 - INFO - begin training stage: [135/350]
2024-12-13 01:01:41,614 - INFO - Epoch:[135/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.44
2024-12-13 01:01:43,032 - INFO - Epoch:[135/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.30 contra_loss_cluster: 3.39
2024-12-13 01:01:44,435 - INFO - now the learning rate is: 0.0003410868318999288
2024-12-13 01:01:44,756 - INFO - begin training stage: [136/350]
2024-12-13 01:01:46,370 - INFO - Epoch:[136/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.39
2024-12-13 01:01:47,787 - INFO - Epoch:[136/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.40
2024-12-13 01:01:49,177 - INFO - now the learning rate is: 0.00033902450362526204
2024-12-13 01:01:49,496 - INFO - begin training stage: [137/350]
2024-12-13 01:01:51,136 - INFO - Epoch:[137/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.38
2024-12-13 01:01:52,552 - INFO - Epoch:[137/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.36
2024-12-13 01:01:53,916 - INFO - now the learning rate is: 0.00033695540569310194
2024-12-13 01:01:54,226 - INFO - begin training stage: [138/350]
2024-12-13 01:01:55,771 - INFO - Epoch:[138/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.36
2024-12-13 01:01:57,130 - INFO - Epoch:[138/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.39
2024-12-13 01:01:58,526 - INFO - now the learning rate is: 0.00033487970480582357
2024-12-13 01:01:58,842 - INFO - begin training stage: [139/350]
2024-12-13 01:02:00,410 - INFO - Epoch:[139/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 3.39
2024-12-13 01:02:01,786 - INFO - Epoch:[139/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.30 contra_loss_cluster: 3.36
2024-12-13 01:02:03,209 - INFO - now the learning rate is: 0.0003327975681977867
2024-12-13 01:02:03,564 - INFO - begin training stage: [140/350]
2024-12-13 01:02:05,130 - INFO - Epoch:[140/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.33
2024-12-13 01:02:06,515 - INFO - Epoch:[140/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 3.31
2024-12-13 01:02:07,872 - INFO - now the learning rate is: 0.00033070916362186193
2024-12-13 01:02:08,197 - INFO - eval data number: 3570
2024-12-13 01:02:10,191 - INFO - loading query data ......
2024-12-13 01:02:11,342 - INFO - retrieval costs: 3.1445794105529785
2024-12-13 01:02:11,473 - INFO - hamming distance computation costs: 0.13125920295715332
2024-12-13 01:02:11,583 - INFO - hamming ranking costs: 0.11011075973510742
2024-12-13 01:02:11,584 - INFO - labels shape: (1530, 51) and (3570, 51)
2024-12-13 01:02:11,789 - INFO - similarity labels generation costs: 0.20592355728149414
2024-12-13 01:02:11,814 - INFO - topK: 5:, map: 0.24961220043572982
2024-12-13 01:02:11,902 - INFO - topK: 20:, map: 0.17742854413450235
2024-12-13 01:02:12,073 - INFO - topK: 40:, map: 0.1413466333913351
2024-12-13 01:02:12,326 - INFO - topK: 60:, map: 0.11562263430252677
2024-12-13 01:02:12,659 - INFO - topK: 80:, map: 0.09599193604003435
2024-12-13 01:02:13,075 - INFO - topK: 100:, map: 0.08191641025951812
2024-12-13 01:02:13,084 - INFO - begin training stage: [141/350]
2024-12-13 01:02:14,658 - INFO - Epoch:[141/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.28 contra_loss_cluster: 3.37
2024-12-13 01:02:16,019 - INFO - Epoch:[141/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.31
2024-12-13 01:02:17,357 - INFO - now the learning rate is: 0.0003286146593359156
2024-12-13 01:02:17,668 - INFO - begin training stage: [142/350]
2024-12-13 01:02:19,184 - INFO - Epoch:[142/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.30
2024-12-13 01:02:20,519 - INFO - Epoch:[142/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.29 contra_loss_cluster: 3.25
2024-12-13 01:02:21,869 - INFO - now the learning rate is: 0.000326514224089253
2024-12-13 01:02:22,189 - INFO - begin training stage: [143/350]
2024-12-13 01:02:23,721 - INFO - Epoch:[143/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 3.27
2024-12-13 01:02:25,046 - INFO - Epoch:[143/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.30
2024-12-13 01:02:26,418 - INFO - now the learning rate is: 0.00032440802710902346
2024-12-13 01:02:26,730 - INFO - begin training stage: [144/350]
2024-12-13 01:02:28,264 - INFO - Epoch:[144/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.29
2024-12-13 01:02:29,614 - INFO - Epoch:[144/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.26
2024-12-13 01:02:30,986 - INFO - now the learning rate is: 0.00032229623808658546
2024-12-13 01:02:31,296 - INFO - begin training stage: [145/350]
2024-12-13 01:02:32,809 - INFO - Epoch:[145/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 3.28
2024-12-13 01:02:34,161 - INFO - Epoch:[145/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.23
2024-12-13 01:02:35,503 - INFO - now the learning rate is: 0.0003201790271638352
2024-12-13 01:02:35,834 - INFO - begin training stage: [146/350]
2024-12-13 01:02:37,383 - INFO - Epoch:[146/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.29 contra_loss_cluster: 3.24
2024-12-13 01:02:38,731 - INFO - Epoch:[146/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.34
2024-12-13 01:02:40,098 - INFO - now the learning rate is: 0.0003180565649194989
2024-12-13 01:02:40,441 - INFO - begin training stage: [147/350]
2024-12-13 01:02:41,967 - INFO - Epoch:[147/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.22
2024-12-13 01:02:43,324 - INFO - Epoch:[147/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.29 contra_loss_cluster: 3.32
2024-12-13 01:02:44,661 - INFO - now the learning rate is: 0.00031592902235538924
2024-12-13 01:02:45,004 - INFO - begin training stage: [148/350]
2024-12-13 01:02:46,611 - INFO - Epoch:[148/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.28
2024-12-13 01:02:48,036 - INFO - Epoch:[148/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.25
2024-12-13 01:02:49,467 - INFO - now the learning rate is: 0.0003137965708826285
2024-12-13 01:02:49,787 - INFO - begin training stage: [149/350]
2024-12-13 01:02:51,346 - INFO - Epoch:[149/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.30 contra_loss_cluster: 3.30
2024-12-13 01:02:52,725 - INFO - Epoch:[149/350] Step:[20/28] reconstruction_loss: 0.31 contra_loss: 3.28 contra_loss_cluster: 3.28
2024-12-13 01:02:54,119 - INFO - now the learning rate is: 0.00031165938230783816
2024-12-13 01:02:54,433 - INFO - begin training stage: [150/350]
2024-12-13 01:02:55,974 - INFO - Epoch:[150/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.28 contra_loss_cluster: 3.31
2024-12-13 01:02:57,327 - INFO - Epoch:[150/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.24
2024-12-13 01:02:58,685 - INFO - now the learning rate is: 0.00030951762881929686
2024-12-13 01:02:59,011 - INFO - begin training stage: [151/350]
2024-12-13 01:03:00,576 - INFO - Epoch:[151/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.27 contra_loss_cluster: 3.22
2024-12-13 01:03:01,942 - INFO - Epoch:[151/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.22
2024-12-13 01:03:03,298 - INFO - now the learning rate is: 0.0003073714829730679
2024-12-13 01:03:03,623 - INFO - begin training stage: [152/350]
2024-12-13 01:03:05,209 - INFO - Epoch:[152/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.30
2024-12-13 01:03:06,590 - INFO - Epoch:[152/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.21
2024-12-13 01:03:07,949 - INFO - now the learning rate is: 0.00030522111767909634
2024-12-13 01:03:08,275 - INFO - begin training stage: [153/350]
2024-12-13 01:03:09,855 - INFO - Epoch:[153/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 3.23
2024-12-13 01:03:11,213 - INFO - Epoch:[153/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.19
2024-12-13 01:03:12,593 - INFO - now the learning rate is: 0.00030306670618727814
2024-12-13 01:03:12,903 - INFO - begin training stage: [154/350]
2024-12-13 01:03:14,453 - INFO - Epoch:[154/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.23
2024-12-13 01:03:15,799 - INFO - Epoch:[154/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.28
2024-12-13 01:03:17,145 - INFO - now the learning rate is: 0.0003009084220735024
2024-12-13 01:03:17,456 - INFO - begin training stage: [155/350]
2024-12-13 01:03:19,021 - INFO - Epoch:[155/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 3.20
2024-12-13 01:03:20,420 - INFO - Epoch:[155/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.22
2024-12-13 01:03:21,828 - INFO - now the learning rate is: 0.00029874643922566584
2024-12-13 01:03:22,184 - INFO - begin training stage: [156/350]
2024-12-13 01:03:23,726 - INFO - Epoch:[156/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.11
2024-12-13 01:03:25,078 - INFO - Epoch:[156/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.29 contra_loss_cluster: 3.20
2024-12-13 01:03:26,442 - INFO - now the learning rate is: 0.00029658093182966373
2024-12-13 01:03:26,764 - INFO - begin training stage: [157/350]
2024-12-13 01:03:28,319 - INFO - Epoch:[157/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.29 contra_loss_cluster: 3.13
2024-12-13 01:03:29,673 - INFO - Epoch:[157/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.21
2024-12-13 01:03:31,082 - INFO - now the learning rate is: 0.00029441207435535605
2024-12-13 01:03:31,435 - INFO - begin training stage: [158/350]
2024-12-13 01:03:33,036 - INFO - Epoch:[158/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 3.18
2024-12-13 01:03:34,405 - INFO - Epoch:[158/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.29 contra_loss_cluster: 3.14
2024-12-13 01:03:35,808 - INFO - now the learning rate is: 0.0002922400415425103
2024-12-13 01:03:36,123 - INFO - begin training stage: [159/350]
2024-12-13 01:03:37,715 - INFO - Epoch:[159/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.27 contra_loss_cluster: 3.21
2024-12-13 01:03:39,104 - INFO - Epoch:[159/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.24
2024-12-13 01:03:40,479 - INFO - now the learning rate is: 0.0002900650083867242
2024-12-13 01:03:40,819 - INFO - begin training stage: [160/350]
2024-12-13 01:03:42,388 - INFO - Epoch:[160/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.12
2024-12-13 01:03:43,735 - INFO - Epoch:[160/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.19
2024-12-13 01:03:45,112 - INFO - now the learning rate is: 0.0002878871501253255
2024-12-13 01:03:45,429 - INFO - eval data number: 3570
2024-12-13 01:03:47,439 - INFO - loading query data ......
2024-12-13 01:03:48,613 - INFO - retrieval costs: 3.1824326515197754
2024-12-13 01:03:48,749 - INFO - hamming distance computation costs: 0.13670635223388672
2024-12-13 01:03:48,856 - INFO - hamming ranking costs: 0.10614204406738281
2024-12-13 01:03:48,856 - INFO - labels shape: (1530, 51) and (3570, 51)
2024-12-13 01:03:49,062 - INFO - similarity labels generation costs: 0.20684146881103516
2024-12-13 01:03:49,087 - INFO - topK: 5:, map: 0.25479738562091503
2024-12-13 01:03:49,175 - INFO - topK: 20:, map: 0.18761257715306767
2024-12-13 01:03:49,346 - INFO - topK: 40:, map: 0.14655908010586138
2024-12-13 01:03:49,599 - INFO - topK: 60:, map: 0.11977252056365963
2024-12-13 01:03:49,934 - INFO - topK: 80:, map: 0.0991158931954039
2024-12-13 01:03:50,352 - INFO - topK: 100:, map: 0.08456351449932979
2024-12-13 01:03:50,484 - INFO - begin training stage: [161/350]
2024-12-13 01:03:52,073 - INFO - Epoch:[161/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.12
2024-12-13 01:03:53,418 - INFO - Epoch:[161/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.14
2024-12-13 01:03:54,764 - INFO - now the learning rate is: 0.00028570664222325444
2024-12-13 01:03:55,116 - INFO - begin training stage: [162/350]
2024-12-13 01:03:56,677 - INFO - Epoch:[162/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.27 contra_loss_cluster: 3.12
2024-12-13 01:03:58,004 - INFO - Epoch:[162/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.16
2024-12-13 01:03:59,345 - INFO - now the learning rate is: 0.00028352366035892655
2024-12-13 01:03:59,663 - INFO - begin training stage: [163/350]
2024-12-13 01:04:01,175 - INFO - Epoch:[163/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.09
2024-12-13 01:04:02,515 - INFO - Epoch:[163/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.27 contra_loss_cluster: 3.22
2024-12-13 01:04:03,863 - INFO - now the learning rate is: 0.00028133838041007856
2024-12-13 01:04:04,200 - INFO - begin training stage: [164/350]
2024-12-13 01:04:05,809 - INFO - Epoch:[164/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.14
2024-12-13 01:04:07,202 - INFO - Epoch:[164/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 3.13
2024-12-13 01:04:08,619 - INFO - now the learning rate is: 0.0002791509784395986
2024-12-13 01:04:08,952 - INFO - begin training stage: [165/350]
2024-12-13 01:04:10,550 - INFO - Epoch:[165/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.08
2024-12-13 01:04:11,946 - INFO - Epoch:[165/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.29 contra_loss_cluster: 3.13
2024-12-13 01:04:13,339 - INFO - now the learning rate is: 0.0002769616306813412
2024-12-13 01:04:13,688 - INFO - begin training stage: [166/350]
2024-12-13 01:04:15,308 - INFO - Epoch:[166/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.06
2024-12-13 01:04:16,704 - INFO - Epoch:[166/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.13
2024-12-13 01:04:18,097 - INFO - now the learning rate is: 0.00027477051352592813
2024-12-13 01:04:18,424 - INFO - begin training stage: [167/350]
2024-12-13 01:04:20,008 - INFO - Epoch:[167/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.13
2024-12-13 01:04:21,399 - INFO - Epoch:[167/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.17
2024-12-13 01:04:22,792 - INFO - now the learning rate is: 0.0002725778035065378
2024-12-13 01:04:23,128 - INFO - begin training stage: [168/350]
2024-12-13 01:04:24,720 - INFO - Epoch:[168/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 3.09
2024-12-13 01:04:26,118 - INFO - Epoch:[168/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.08
2024-12-13 01:04:27,553 - INFO - now the learning rate is: 0.00027038367728468164
2024-12-13 01:04:27,880 - INFO - begin training stage: [169/350]
2024-12-13 01:04:29,487 - INFO - Epoch:[169/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.12
2024-12-13 01:04:30,892 - INFO - Epoch:[169/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.09
2024-12-13 01:04:32,322 - INFO - now the learning rate is: 0.00026818831163597136
2024-12-13 01:04:32,644 - INFO - begin training stage: [170/350]
2024-12-13 01:04:34,236 - INFO - Epoch:[170/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.27 contra_loss_cluster: 3.05
2024-12-13 01:04:35,639 - INFO - Epoch:[170/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.29 contra_loss_cluster: 3.04
2024-12-13 01:04:37,026 - INFO - now the learning rate is: 0.0002659918834358761
2024-12-13 01:04:37,351 - INFO - begin training stage: [171/350]
2024-12-13 01:04:38,940 - INFO - Epoch:[171/350] Step:[10/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 3.09
2024-12-13 01:04:40,313 - INFO - Epoch:[171/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 3.08
2024-12-13 01:04:41,672 - INFO - now the learning rate is: 0.00026379456964547253
2024-12-13 01:04:42,015 - INFO - begin training stage: [172/350]
2024-12-13 01:04:43,612 - INFO - Epoch:[172/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.09
2024-12-13 01:04:45,018 - INFO - Epoch:[172/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 3.05
2024-12-13 01:04:46,439 - INFO - now the learning rate is: 0.00026159654729718734
2024-12-13 01:04:46,779 - INFO - begin training stage: [173/350]
2024-12-13 01:04:48,321 - INFO - Epoch:[173/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.10
2024-12-13 01:04:49,666 - INFO - Epoch:[173/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 3.10
2024-12-13 01:04:51,064 - INFO - now the learning rate is: 0.0002593979934805337
2024-12-13 01:04:51,391 - INFO - begin training stage: [174/350]
2024-12-13 01:04:52,929 - INFO - Epoch:[174/350] Step:[10/28] reconstruction_loss: 0.31 contra_loss: 3.27 contra_loss_cluster: 3.13
2024-12-13 01:04:54,273 - INFO - Epoch:[174/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.04
2024-12-13 01:04:55,686 - INFO - now the learning rate is: 0.00025719908532784435
2024-12-13 01:04:56,011 - INFO - begin training stage: [175/350]
2024-12-13 01:04:57,571 - INFO - Epoch:[175/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.02
2024-12-13 01:04:58,912 - INFO - Epoch:[175/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 3.02
2024-12-13 01:05:00,280 - INFO - now the learning rate is: 0.00025499999999999986
2024-12-13 01:05:00,599 - INFO - begin training stage: [176/350]
2024-12-13 01:05:02,284 - INFO - Epoch:[176/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.94
2024-12-13 01:05:03,772 - INFO - Epoch:[176/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 3.06
2024-12-13 01:05:05,163 - INFO - now the learning rate is: 0.00025280091467215536
2024-12-13 01:05:05,475 - INFO - begin training stage: [177/350]
2024-12-13 01:05:07,027 - INFO - Epoch:[177/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.29 contra_loss_cluster: 3.07
2024-12-13 01:05:08,393 - INFO - Epoch:[177/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 3.03
2024-12-13 01:05:09,791 - INFO - now the learning rate is: 0.00025060200651946595
2024-12-13 01:05:10,111 - INFO - begin training stage: [178/350]
2024-12-13 01:05:11,670 - INFO - Epoch:[178/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 3.06
2024-12-13 01:05:13,139 - INFO - Epoch:[178/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.29 contra_loss_cluster: 3.05
2024-12-13 01:05:14,492 - INFO - now the learning rate is: 0.00024840345270281237
2024-12-13 01:05:14,815 - INFO - begin training stage: [179/350]
2024-12-13 01:05:16,392 - INFO - Epoch:[179/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 3.08
2024-12-13 01:05:17,762 - INFO - Epoch:[179/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.89
2024-12-13 01:05:19,165 - INFO - now the learning rate is: 0.0002462054303545271
2024-12-13 01:05:19,479 - INFO - begin training stage: [180/350]
2024-12-13 01:05:21,044 - INFO - Epoch:[180/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.95
2024-12-13 01:05:22,419 - INFO - Epoch:[180/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.97
2024-12-13 01:05:23,783 - INFO - now the learning rate is: 0.00024400811656412365
2024-12-13 01:05:24,103 - INFO - eval data number: 3570
2024-12-13 01:05:26,099 - INFO - loading query data ......
2024-12-13 01:05:27,256 - INFO - retrieval costs: 3.151662826538086
2024-12-13 01:05:27,393 - INFO - hamming distance computation costs: 0.13711905479431152
2024-12-13 01:05:27,503 - INFO - hamming ranking costs: 0.10970520973205566
2024-12-13 01:05:27,503 - INFO - labels shape: (1530, 51) and (3570, 51)
2024-12-13 01:05:27,710 - INFO - similarity labels generation costs: 0.2073349952697754
2024-12-13 01:05:27,735 - INFO - topK: 5:, map: 0.25298910675381264
2024-12-13 01:05:27,824 - INFO - topK: 20:, map: 0.18737421532232737
2024-12-13 01:05:27,995 - INFO - topK: 40:, map: 0.14764083097899217
2024-12-13 01:05:28,250 - INFO - topK: 60:, map: 0.12131295812960484
2024-12-13 01:05:28,584 - INFO - topK: 80:, map: 0.10068921086026292
2024-12-13 01:05:28,998 - INFO - topK: 100:, map: 0.08567305403162613
2024-12-13 01:05:29,008 - INFO - begin training stage: [181/350]
2024-12-13 01:05:30,656 - INFO - Epoch:[181/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 2.99
2024-12-13 01:05:32,019 - INFO - Epoch:[181/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.29 contra_loss_cluster: 2.95
2024-12-13 01:05:33,399 - INFO - now the learning rate is: 0.00024181168836402838
2024-12-13 01:05:33,737 - INFO - begin training stage: [182/350]
2024-12-13 01:05:35,279 - INFO - Epoch:[182/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 2.98
2024-12-13 01:05:36,645 - INFO - Epoch:[182/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 3.02
2024-12-13 01:05:38,009 - INFO - now the learning rate is: 0.00023961632271531801
2024-12-13 01:05:38,376 - INFO - begin training stage: [183/350]
2024-12-13 01:05:39,922 - INFO - Epoch:[183/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.98
2024-12-13 01:05:41,270 - INFO - Epoch:[183/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.27 contra_loss_cluster: 2.97
2024-12-13 01:05:42,690 - INFO - now the learning rate is: 0.0002374221964934619
2024-12-13 01:05:43,013 - INFO - begin training stage: [184/350]
2024-12-13 01:05:44,606 - INFO - Epoch:[184/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 3.01
2024-12-13 01:05:45,973 - INFO - Epoch:[184/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.29 contra_loss_cluster: 2.95
2024-12-13 01:05:47,414 - INFO - now the learning rate is: 0.00023522948647407158
2024-12-13 01:05:47,774 - INFO - begin training stage: [185/350]
2024-12-13 01:05:49,382 - INFO - Epoch:[185/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.96
2024-12-13 01:05:50,755 - INFO - Epoch:[185/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.95
2024-12-13 01:05:52,150 - INFO - now the learning rate is: 0.00023303836931865866
2024-12-13 01:05:52,459 - INFO - begin training stage: [186/350]
2024-12-13 01:05:54,031 - INFO - Epoch:[186/350] Step:[10/28] reconstruction_loss: 0.27 contra_loss: 3.27 contra_loss_cluster: 2.95
2024-12-13 01:05:55,390 - INFO - Epoch:[186/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.94
2024-12-13 01:05:56,731 - INFO - now the learning rate is: 0.00023084902156040118
2024-12-13 01:05:57,050 - INFO - begin training stage: [187/350]
2024-12-13 01:05:58,582 - INFO - Epoch:[187/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.96
2024-12-13 01:05:59,952 - INFO - Epoch:[187/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.94
2024-12-13 01:06:01,329 - INFO - now the learning rate is: 0.00022866161958992118
2024-12-13 01:06:01,644 - INFO - begin training stage: [188/350]
2024-12-13 01:06:03,179 - INFO - Epoch:[188/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.90
2024-12-13 01:06:04,549 - INFO - Epoch:[188/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 2.95
2024-12-13 01:06:05,914 - INFO - now the learning rate is: 0.00022647633964107316
2024-12-13 01:06:06,228 - INFO - begin training stage: [189/350]
2024-12-13 01:06:07,800 - INFO - Epoch:[189/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 2.89
2024-12-13 01:06:09,162 - INFO - Epoch:[189/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.26 contra_loss_cluster: 2.95
2024-12-13 01:06:10,555 - INFO - now the learning rate is: 0.00022429335777674522
2024-12-13 01:06:10,880 - INFO - begin training stage: [190/350]
2024-12-13 01:06:12,523 - INFO - Epoch:[190/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.90
2024-12-13 01:06:13,936 - INFO - Epoch:[190/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 2.98
2024-12-13 01:06:15,330 - INFO - now the learning rate is: 0.00022211284987467422
2024-12-13 01:06:15,671 - INFO - begin training stage: [191/350]
2024-12-13 01:06:17,228 - INFO - Epoch:[191/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.98
2024-12-13 01:06:18,583 - INFO - Epoch:[191/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.96
2024-12-13 01:06:19,945 - INFO - now the learning rate is: 0.0002199349916132755
2024-12-13 01:06:20,281 - INFO - begin training stage: [192/350]
2024-12-13 01:06:21,842 - INFO - Epoch:[192/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.26 contra_loss_cluster: 2.89
2024-12-13 01:06:23,199 - INFO - Epoch:[192/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.26 contra_loss_cluster: 2.97
2024-12-13 01:06:24,559 - INFO - now the learning rate is: 0.0002177599584574893
2024-12-13 01:06:24,879 - INFO - begin training stage: [193/350]
2024-12-13 01:06:26,412 - INFO - Epoch:[193/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.93
2024-12-13 01:06:27,758 - INFO - Epoch:[193/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.94
2024-12-13 01:06:29,127 - INFO - now the learning rate is: 0.0002155879256446437
2024-12-13 01:06:29,450 - INFO - begin training stage: [194/350]
2024-12-13 01:06:31,008 - INFO - Epoch:[194/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.94
2024-12-13 01:06:32,379 - INFO - Epoch:[194/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.30 contra_loss_cluster: 2.89
2024-12-13 01:06:33,738 - INFO - now the learning rate is: 0.00021341906817033587
2024-12-13 01:06:34,051 - INFO - begin training stage: [195/350]
2024-12-13 01:06:35,593 - INFO - Epoch:[195/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.88
2024-12-13 01:06:36,949 - INFO - Epoch:[195/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.94
2024-12-13 01:06:38,338 - INFO - now the learning rate is: 0.0002112535607743338
2024-12-13 01:06:38,644 - INFO - begin training stage: [196/350]
2024-12-13 01:06:40,226 - INFO - Epoch:[196/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.86
2024-12-13 01:06:41,613 - INFO - Epoch:[196/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.29 contra_loss_cluster: 2.77
2024-12-13 01:06:43,011 - INFO - now the learning rate is: 0.00020909157792649727
2024-12-13 01:06:43,345 - INFO - begin training stage: [197/350]
2024-12-13 01:06:44,904 - INFO - Epoch:[197/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.89
2024-12-13 01:06:46,270 - INFO - Epoch:[197/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.77
2024-12-13 01:06:47,623 - INFO - now the learning rate is: 0.0002069332938127215
2024-12-13 01:06:47,957 - INFO - begin training stage: [198/350]
2024-12-13 01:06:49,499 - INFO - Epoch:[198/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.89
2024-12-13 01:06:50,852 - INFO - Epoch:[198/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.90
2024-12-13 01:06:52,215 - INFO - now the learning rate is: 0.00020477888232090335
2024-12-13 01:06:52,580 - INFO - begin training stage: [199/350]
2024-12-13 01:06:54,133 - INFO - Epoch:[199/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 2.84
2024-12-13 01:06:55,495 - INFO - Epoch:[199/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 2.86
2024-12-13 01:06:56,850 - INFO - now the learning rate is: 0.0002026285170269317
2024-12-13 01:06:57,172 - INFO - begin training stage: [200/350]
2024-12-13 01:06:58,724 - INFO - Epoch:[200/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.84
2024-12-13 01:07:00,111 - INFO - Epoch:[200/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.83
2024-12-13 01:07:01,489 - INFO - now the learning rate is: 0.00020048237118070277
2024-12-13 01:07:01,815 - INFO - eval data number: 3570
2024-12-13 01:07:03,833 - INFO - loading query data ......
2024-12-13 01:07:05,007 - INFO - retrieval costs: 3.1903703212738037
2024-12-13 01:07:05,168 - INFO - hamming distance computation costs: 0.1616060733795166
2024-12-13 01:07:05,277 - INFO - hamming ranking costs: 0.10851240158081055
2024-12-13 01:07:05,277 - INFO - labels shape: (1530, 51) and (3570, 51)
2024-12-13 01:07:05,485 - INFO - similarity labels generation costs: 0.20784330368041992
2024-12-13 01:07:05,510 - INFO - topK: 5:, map: 0.2553551198257081
2024-12-13 01:07:05,598 - INFO - topK: 20:, map: 0.18879598355608343
2024-12-13 01:07:05,767 - INFO - topK: 40:, map: 0.150579888246285
2024-12-13 01:07:06,018 - INFO - topK: 60:, map: 0.12317402233828333
2024-12-13 01:07:06,350 - INFO - topK: 80:, map: 0.10194083918204197
2024-12-13 01:07:06,761 - INFO - topK: 100:, map: 0.08668733733345951
2024-12-13 01:07:06,892 - INFO - begin training stage: [201/350]
2024-12-13 01:07:08,438 - INFO - Epoch:[201/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.87
2024-12-13 01:07:09,784 - INFO - Epoch:[201/350] Step:[20/28] reconstruction_loss: 0.30 contra_loss: 3.28 contra_loss_cluster: 2.82
2024-12-13 01:07:11,151 - INFO - now the learning rate is: 0.00019834061769216153
2024-12-13 01:07:11,473 - INFO - begin training stage: [202/350]
2024-12-13 01:07:13,009 - INFO - Epoch:[202/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.84
2024-12-13 01:07:14,370 - INFO - Epoch:[202/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 2.89
2024-12-13 01:07:15,736 - INFO - now the learning rate is: 0.00019620342911737113
2024-12-13 01:07:16,055 - INFO - begin training stage: [203/350]
2024-12-13 01:07:17,615 - INFO - Epoch:[203/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.29 contra_loss_cluster: 2.75
2024-12-13 01:07:18,970 - INFO - Epoch:[203/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.86
2024-12-13 01:07:20,379 - INFO - now the learning rate is: 0.0001940709776446104
2024-12-13 01:07:20,700 - INFO - begin training stage: [204/350]
2024-12-13 01:07:22,241 - INFO - Epoch:[204/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.74
2024-12-13 01:07:23,591 - INFO - Epoch:[204/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.82
2024-12-13 01:07:24,960 - INFO - now the learning rate is: 0.00019194343508050076
2024-12-13 01:07:25,289 - INFO - begin training stage: [205/350]
2024-12-13 01:07:26,841 - INFO - Epoch:[205/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.81
2024-12-13 01:07:28,225 - INFO - Epoch:[205/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.91
2024-12-13 01:07:29,659 - INFO - now the learning rate is: 0.00018982097283616443
2024-12-13 01:07:29,977 - INFO - begin training stage: [206/350]
2024-12-13 01:07:31,545 - INFO - Epoch:[206/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 2.85
2024-12-13 01:07:32,892 - INFO - Epoch:[206/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.80
2024-12-13 01:07:34,240 - INFO - now the learning rate is: 0.00018770376191341425
2024-12-13 01:07:34,549 - INFO - begin training stage: [207/350]
2024-12-13 01:07:36,118 - INFO - Epoch:[207/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 2.82
2024-12-13 01:07:37,505 - INFO - Epoch:[207/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 2.84
2024-12-13 01:07:38,875 - INFO - now the learning rate is: 0.00018559197289097626
2024-12-13 01:07:39,185 - INFO - begin training stage: [208/350]
2024-12-13 01:07:40,745 - INFO - Epoch:[208/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.80
2024-12-13 01:07:42,119 - INFO - Epoch:[208/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.78
2024-12-13 01:07:43,502 - INFO - now the learning rate is: 0.00018348577591074665
2024-12-13 01:07:43,811 - INFO - begin training stage: [209/350]
2024-12-13 01:07:45,363 - INFO - Epoch:[209/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.26 contra_loss_cluster: 2.83
2024-12-13 01:07:46,736 - INFO - Epoch:[209/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.72
2024-12-13 01:07:48,126 - INFO - now the learning rate is: 0.0001813853406640841
2024-12-13 01:07:48,440 - INFO - begin training stage: [210/350]
2024-12-13 01:07:49,992 - INFO - Epoch:[210/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 2.75
2024-12-13 01:07:51,346 - INFO - Epoch:[210/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 2.79
2024-12-13 01:07:52,699 - INFO - now the learning rate is: 0.00017929083637813773
2024-12-13 01:07:53,012 - INFO - begin training stage: [211/350]
2024-12-13 01:07:54,545 - INFO - Epoch:[211/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.76
2024-12-13 01:07:55,902 - INFO - Epoch:[211/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.80
2024-12-13 01:07:57,296 - INFO - now the learning rate is: 0.000177202431802213
2024-12-13 01:07:57,607 - INFO - begin training stage: [212/350]
2024-12-13 01:07:59,166 - INFO - Epoch:[212/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.78
2024-12-13 01:08:00,529 - INFO - Epoch:[212/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.87
2024-12-13 01:08:01,907 - INFO - now the learning rate is: 0.0001751202951941761
2024-12-13 01:08:02,228 - INFO - begin training stage: [213/350]
2024-12-13 01:08:03,782 - INFO - Epoch:[213/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.79
2024-12-13 01:08:05,151 - INFO - Epoch:[213/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 2.78
2024-12-13 01:08:06,535 - INFO - now the learning rate is: 0.00017304459430689774
2024-12-13 01:08:06,853 - INFO - begin training stage: [214/350]
2024-12-13 01:08:08,407 - INFO - Epoch:[214/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.86
2024-12-13 01:08:09,775 - INFO - Epoch:[214/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.84
2024-12-13 01:08:11,135 - INFO - now the learning rate is: 0.00017097549637473767
2024-12-13 01:08:11,452 - INFO - begin training stage: [215/350]
2024-12-13 01:08:13,003 - INFO - Epoch:[215/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.76
2024-12-13 01:08:14,384 - INFO - Epoch:[215/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.80
2024-12-13 01:08:15,745 - INFO - now the learning rate is: 0.00016891316810007092
2024-12-13 01:08:16,051 - INFO - begin training stage: [216/350]
2024-12-13 01:08:17,620 - INFO - Epoch:[216/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.71
2024-12-13 01:08:18,974 - INFO - Epoch:[216/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.81
2024-12-13 01:08:20,332 - INFO - now the learning rate is: 0.00016685777563985724
2024-12-13 01:08:20,652 - INFO - begin training stage: [217/350]
2024-12-13 01:08:22,215 - INFO - Epoch:[217/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.77
2024-12-13 01:08:23,573 - INFO - Epoch:[217/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.76
2024-12-13 01:08:24,933 - INFO - now the learning rate is: 0.00016480948459225383
2024-12-13 01:08:25,249 - INFO - begin training stage: [218/350]
2024-12-13 01:08:26,780 - INFO - Epoch:[218/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 2.85
2024-12-13 01:08:28,128 - INFO - Epoch:[218/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.70
2024-12-13 01:08:29,507 - INFO - now the learning rate is: 0.00016276845998327387
2024-12-13 01:08:29,845 - INFO - begin training stage: [219/350]
2024-12-13 01:08:31,427 - INFO - Epoch:[219/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.26 contra_loss_cluster: 2.76
2024-12-13 01:08:32,780 - INFO - Epoch:[219/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.27 contra_loss_cluster: 2.68
2024-12-13 01:08:34,154 - INFO - now the learning rate is: 0.0001607348662534905
2024-12-13 01:08:34,456 - INFO - begin training stage: [220/350]
2024-12-13 01:08:35,979 - INFO - Epoch:[220/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.76
2024-12-13 01:08:37,329 - INFO - Epoch:[220/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.79
2024-12-13 01:08:38,663 - INFO - now the learning rate is: 0.00015870886724478854
2024-12-13 01:08:39,016 - INFO - eval data number: 3570
2024-12-13 01:08:41,031 - INFO - loading query data ......
2024-12-13 01:08:42,183 - INFO - retrieval costs: 3.165954113006592
2024-12-13 01:08:42,322 - INFO - hamming distance computation costs: 0.13921880722045898
2024-12-13 01:08:42,430 - INFO - hamming ranking costs: 0.10792160034179688
2024-12-13 01:08:42,430 - INFO - labels shape: (1530, 51) and (3570, 51)
2024-12-13 01:08:42,636 - INFO - similarity labels generation costs: 0.20602130889892578
2024-12-13 01:08:42,661 - INFO - topK: 5:, map: 0.24645098039215685
2024-12-13 01:08:42,748 - INFO - topK: 20:, map: 0.1839289546069618
2024-12-13 01:08:42,918 - INFO - topK: 40:, map: 0.14778111452085602
2024-12-13 01:08:43,168 - INFO - topK: 60:, map: 0.12157842354760624
2024-12-13 01:08:43,505 - INFO - topK: 80:, map: 0.10051636283137137
2024-12-13 01:08:43,927 - INFO - topK: 100:, map: 0.08562923612671373
2024-12-13 01:08:43,936 - INFO - begin training stage: [221/350]
2024-12-13 01:08:45,516 - INFO - Epoch:[221/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.76
2024-12-13 01:08:46,866 - INFO - Epoch:[221/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.77
2024-12-13 01:08:48,326 - INFO - now the learning rate is: 0.0001566906261871637
2024-12-13 01:08:48,676 - INFO - begin training stage: [222/350]
2024-12-13 01:08:50,275 - INFO - Epoch:[222/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.72
2024-12-13 01:08:51,681 - INFO - Epoch:[222/350] Step:[20/28] reconstruction_loss: 0.29 contra_loss: 3.28 contra_loss_cluster: 2.66
2024-12-13 01:08:53,065 - INFO - now the learning rate is: 0.0001546803056855717
2024-12-13 01:08:53,388 - INFO - begin training stage: [223/350]
2024-12-13 01:08:54,979 - INFO - Epoch:[223/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.71
2024-12-13 01:08:56,373 - INFO - Epoch:[223/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.28 contra_loss_cluster: 2.68
2024-12-13 01:08:57,735 - INFO - now the learning rate is: 0.00015267806770682778
2024-12-13 01:08:58,064 - INFO - begin training stage: [224/350]
2024-12-13 01:08:59,588 - INFO - Epoch:[224/350] Step:[10/28] reconstruction_loss: 0.29 contra_loss: 3.29 contra_loss_cluster: 2.68
2024-12-13 01:09:00,938 - INFO - Epoch:[224/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.26 contra_loss_cluster: 2.62
2024-12-13 01:09:02,394 - INFO - now the learning rate is: 0.00015068407356655708
2024-12-13 01:09:02,742 - INFO - begin training stage: [225/350]
2024-12-13 01:09:04,363 - INFO - Epoch:[225/350] Step:[10/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.69
2024-12-13 01:09:05,771 - INFO - Epoch:[225/350] Step:[20/28] reconstruction_loss: 0.28 contra_loss: 3.27 contra_loss_cluster: 2.65
2024-12-13 01:09:07,161 - INFO - now the learning rate is: 0.00014869848391619816