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2024-12-13 13:36:20,389 - INFO - Self Supervised Video Hashing Training: S5VH
2024-12-13 13:36:20,389 - INFO - set seed: 1
2024-12-13 13:36:20,389 - INFO - PARAMETER ......
2024-12-13 13:36:20,389 - INFO - Config (path: /data2/lianniu/S5VH/configs/S5VH/ucf.py): {'model_name': 'S5VH', 'use_checkpoint': None, 'feature_size': 4096, 'hidden_size': 256, 'max_frames': 25, 'nbits': 16, 'S5VH_type': 'small', 'dataset': 'ucf', 'workers': 12, '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': 1.0, 'temperature': 0.5, 'tau_plus': 0.1, 'train_num_sample': 9537, 'a_cluster': 0.1, 'temperature_cluster': 0.5, 'nclusters': 101, 'warm_epoch': 50, 'smoothing_alpha': 0.01, 'test_batch_size': 128, 'test_num_sample': 9537, 'query_num_sample': 3783, 'optimizer_name': 'AdamW', 'schedule': 'CosineAnnealingLR', 'lr': 0.0005, 'min_lr': 1e-05, 'data_root': '/data2/lianniu/dataset/ucf4/', 'home_root': '/data2/lianniu/', 'train_feat_path': '/data2/lianniu/dataset/ucf4/ucf_train_feats.h5', 'train_assist_path': '/data2/lianniu/dataset/ucf4/final_train_train_assit.h5', 'latent_feat_path': '/data2/lianniu/dataset/ucf4/final_train_latent_feats.h5', 'anchor_path': '/data2/lianniu/dataset/ucf4/final_train_anchors.h5', 'sim_path': '/data2/lianniu/dataset/ucf4/final_train_sim_matrix.h5', 'semantic_center_path': '/data2/lianniu/dataset/ucf4/semantic.h5', 'hash_center_path': '/data2/lianniu/dataset/ucf4/hash_center_16.h5', 'im2cluster_path': '/data2/lianniu/dataset/ucf4/im2cluster.h5', 'test_feat_path': ['/data2/lianniu/dataset/ucf4/ucf_train_feats.h5'], 'label_path': ['/data2/lianniu/dataset/ucf4/ucf_train_labels.mat'], 'query_feat_path': ['/data2/lianniu/dataset/ucf4/ucf_test_feats.h5'], 'query_label_path': ['/data2/lianniu/dataset/ucf4/ucf_test_labels.mat'], 'save_dir': '/data2/lianniu/saved_model/ucf/S5VH', 'file_path': '/data2/lianniu/saved_model/ucf/S5VH_16bit'}
2024-12-13 13:36:20,390 - INFO - loading model ......
2024-12-13 13:36:22,814 - INFO - loading train data ......
2024-12-13 13:36:25,228 - INFO - loading eval data ......
2024-12-13 13:36:28,805 - INFO - begin training stage: [1/350]
2024-12-13 13:37:38,002 - INFO - Self Supervised Video Hashing Training: S5VH
2024-12-13 13:37:38,003 - INFO - set seed: 1
2024-12-13 13:37:38,003 - INFO - PARAMETER ......
2024-12-13 13:37:38,003 - INFO - Config (path: /data2/lianniu/S5VH/configs/S5VH/ucf.py): {'model_name': 'S5VH', 'use_checkpoint': None, 'feature_size': 4096, 'hidden_size': 256, 'max_frames': 25, 'nbits': 16, 'S5VH_type': 'small', 'dataset': 'ucf', 'workers': 12, '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': 1.0, 'temperature': 0.5, 'tau_plus': 0.1, 'train_num_sample': 9537, 'a_cluster': 0.1, 'temperature_cluster': 0.5, 'nclusters': 101, 'warm_up_epoch': 50, 'smoothing_alpha': 0.01, 'test_batch_size': 128, 'test_num_sample': 9537, 'query_num_sample': 3783, 'optimizer_name': 'AdamW', 'schedule': 'CosineAnnealingLR', 'lr': 0.0005, 'min_lr': 1e-05, 'data_root': '/data2/lianniu/dataset/ucf4/', 'home_root': '/data2/lianniu/', 'train_feat_path': '/data2/lianniu/dataset/ucf4/ucf_train_feats.h5', 'train_assist_path': '/data2/lianniu/dataset/ucf4/final_train_train_assit.h5', 'latent_feat_path': '/data2/lianniu/dataset/ucf4/final_train_latent_feats.h5', 'anchor_path': '/data2/lianniu/dataset/ucf4/final_train_anchors.h5', 'sim_path': '/data2/lianniu/dataset/ucf4/final_train_sim_matrix.h5', 'semantic_center_path': '/data2/lianniu/dataset/ucf4/semantic.h5', 'hash_center_path': '/data2/lianniu/dataset/ucf4/hash_center_16.h5', 'im2cluster_path': '/data2/lianniu/dataset/ucf4/im2cluster.h5', 'test_feat_path': ['/data2/lianniu/dataset/ucf4/ucf_train_feats.h5'], 'label_path': ['/data2/lianniu/dataset/ucf4/ucf_train_labels.mat'], 'query_feat_path': ['/data2/lianniu/dataset/ucf4/ucf_test_feats.h5'], 'query_label_path': ['/data2/lianniu/dataset/ucf4/ucf_test_labels.mat'], 'save_dir': '/data2/lianniu/saved_model/ucf/S5VH', 'file_path': '/data2/lianniu/saved_model/ucf/S5VH_16bit'}
2024-12-13 13:37:38,003 - INFO - loading model ......
2024-12-13 13:37:40,398 - INFO - loading train data ......
2024-12-13 13:38:06,204 - INFO - Self Supervised Video Hashing Training: S5VH
2024-12-13 13:38:06,205 - INFO - set seed: 1
2024-12-13 13:38:06,205 - INFO - PARAMETER ......
2024-12-13 13:38:06,205 - INFO - Config (path: /data2/lianniu/S5VH/configs/S5VH/ucf.py): {'model_name': 'S5VH', 'use_checkpoint': None, 'feature_size': 4096, 'hidden_size': 256, 'max_frames': 25, 'nbits': 16, 'S5VH_type': 'small', 'dataset': 'ucf', 'workers': 12, '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': 1.0, 'temperature': 0.5, 'tau_plus': 0.1, 'train_num_sample': 9537, 'a_cluster': 0.1, 'temperature_cluster': 0.5, 'nclusters': 101, 'warm_up_epoch': 50, 'smoothing_alpha': 0.01, 'test_batch_size': 128, 'test_num_sample': 9537, 'query_num_sample': 3783, 'optimizer_name': 'AdamW', 'schedule': 'CosineAnnealingLR', 'lr': 0.0005, 'min_lr': 1e-05, 'data_root': '/data2/lianniu/dataset/ucf4/', 'home_root': '/data2/lianniu/', 'train_feat_path': '/data2/lianniu/dataset/ucf4/ucf_train_feats.h5', 'train_assist_path': '/data2/lianniu/dataset/ucf4/final_train_train_assit.h5', 'latent_feat_path': '/data2/lianniu/dataset/ucf4/final_train_latent_feats.h5', 'anchor_path': '/data2/lianniu/dataset/ucf4/final_train_anchors.h5', 'sim_path': '/data2/lianniu/dataset/ucf4/final_train_sim_matrix.h5', 'semantic_center_path': '/data2/lianniu/dataset/ucf4/semantic.h5', 'hash_center_path': '/data2/lianniu/dataset/ucf4/hash_center_16.h5', 'im2cluster_path': '/data2/lianniu/dataset/ucf4/im2cluster.h5', 'test_feat_path': ['/data2/lianniu/dataset/ucf4/ucf_train_feats.h5'], 'label_path': ['/data2/lianniu/dataset/ucf4/ucf_train_labels.mat'], 'query_feat_path': ['/data2/lianniu/dataset/ucf4/ucf_test_feats.h5'], 'query_label_path': ['/data2/lianniu/dataset/ucf4/ucf_test_labels.mat'], 'save_dir': '/data2/lianniu/saved_model/ucf/S5VH', 'file_path': '/data2/lianniu/saved_model/ucf/S5VH_16bit'}
2024-12-13 13:38:06,205 - INFO - loading model ......
2024-12-13 13:38:08,575 - INFO - loading train data ......
2024-12-13 13:38:10,940 - INFO - loading eval data ......
2024-12-13 13:38:14,195 - INFO - begin training stage: [1/350]
2024-12-13 13:38:25,146 - INFO - Epoch:[1/350] Step:[50/75] reconstruction_loss: 1.31 contra_loss: 3.23 contra_loss_cluster: 4.60
2024-12-13 13:38:27,941 - INFO - Epoch:[1/350] Step:[75/75] reconstruction_loss: 1.31 contra_loss: 2.47 contra_loss_cluster: 4.58
2024-12-13 13:38:28,481 - INFO - now the learning rate is: 0.0004999901304618634
2024-12-13 13:38:28,666 - INFO - begin training stage: [2/350]
2024-12-13 13:38:37,664 - INFO - Epoch:[2/350] Step:[50/75] reconstruction_loss: 1.22 contra_loss: 3.09 contra_loss_cluster: 4.57
2024-12-13 13:38:40,574 - INFO - Epoch:[2/350] Step:[75/75] reconstruction_loss: 1.09 contra_loss: 2.47 contra_loss_cluster: 4.56
2024-12-13 13:38:41,281 - INFO - now the learning rate is: 0.0004999605226426192
2024-12-13 13:38:41,591 - INFO - begin training stage: [3/350]
2024-12-13 13:38:50,731 - INFO - Epoch:[3/350] Step:[50/75] reconstruction_loss: 1.03 contra_loss: 3.00 contra_loss_cluster: 4.55
2024-12-13 13:38:53,581 - INFO - Epoch:[3/350] Step:[75/75] reconstruction_loss: 0.97 contra_loss: 2.32 contra_loss_cluster: 4.54
2024-12-13 13:38:54,294 - INFO - now the learning rate is: 0.0004999111789277001
2024-12-13 13:38:54,677 - INFO - begin training stage: [4/350]
2024-12-13 13:39:03,630 - INFO - Epoch:[4/350] Step:[50/75] reconstruction_loss: 0.97 contra_loss: 2.99 contra_loss_cluster: 4.53
2024-12-13 13:39:06,503 - INFO - Epoch:[4/350] Step:[75/75] reconstruction_loss: 0.91 contra_loss: 2.31 contra_loss_cluster: 4.52
2024-12-13 13:39:07,221 - INFO - now the learning rate is: 0.0004998421032926137
2024-12-13 13:39:07,541 - INFO - begin training stage: [5/350]
2024-12-13 13:39:16,704 - INFO - Epoch:[5/350] Step:[50/75] reconstruction_loss: 0.92 contra_loss: 2.97 contra_loss_cluster: 4.49
2024-12-13 13:39:19,637 - INFO - Epoch:[5/350] Step:[75/75] reconstruction_loss: 0.98 contra_loss: 2.33 contra_loss_cluster: 4.49
2024-12-13 13:39:20,351 - INFO - now the learning rate is: 0.0004997533013026221
2024-12-13 13:39:20,717 - INFO - begin training stage: [6/350]
2024-12-13 13:39:29,864 - INFO - Epoch:[6/350] Step:[50/75] reconstruction_loss: 0.89 contra_loss: 2.96 contra_loss_cluster: 4.47
2024-12-13 13:39:32,787 - INFO - Epoch:[6/350] Step:[75/75] reconstruction_loss: 0.90 contra_loss: 2.34 contra_loss_cluster: 4.45
2024-12-13 13:39:33,510 - INFO - now the learning rate is: 0.0004996447801122936
2024-12-13 13:39:33,859 - INFO - begin training stage: [7/350]
2024-12-13 13:39:42,772 - INFO - Epoch:[7/350] Step:[50/75] reconstruction_loss: 0.86 contra_loss: 2.95 contra_loss_cluster: 4.44
2024-12-13 13:39:45,637 - INFO - Epoch:[7/350] Step:[75/75] reconstruction_loss: 0.86 contra_loss: 2.30 contra_loss_cluster: 4.43
2024-12-13 13:39:46,320 - INFO - now the learning rate is: 0.0004995165484649266
2024-12-13 13:39:46,646 - INFO - begin training stage: [8/350]
2024-12-13 13:39:55,596 - INFO - Epoch:[8/350] Step:[50/75] reconstruction_loss: 0.83 contra_loss: 2.95 contra_loss_cluster: 4.41
2024-12-13 13:39:58,455 - INFO - Epoch:[8/350] Step:[75/75] reconstruction_loss: 0.82 contra_loss: 2.31 contra_loss_cluster: 4.39
2024-12-13 13:39:59,019 - INFO - now the learning rate is: 0.0004993686166918443
2024-12-13 13:39:59,368 - INFO - begin training stage: [9/350]
2024-12-13 13:40:08,815 - INFO - Epoch:[9/350] Step:[50/75] reconstruction_loss: 0.85 contra_loss: 2.93 contra_loss_cluster: 4.38
2024-12-13 13:40:11,671 - INFO - Epoch:[9/350] Step:[75/75] reconstruction_loss: 0.83 contra_loss: 2.26 contra_loss_cluster: 4.38
2024-12-13 13:40:12,369 - INFO - now the learning rate is: 0.0004992009967115635
2024-12-13 13:40:12,708 - INFO - begin training stage: [10/350]
2024-12-13 13:40:21,739 - INFO - Epoch:[10/350] Step:[50/75] reconstruction_loss: 0.83 contra_loss: 2.91 contra_loss_cluster: 4.35
2024-12-13 13:40:24,612 - INFO - Epoch:[10/350] Step:[75/75] reconstruction_loss: 0.86 contra_loss: 2.24 contra_loss_cluster: 4.35
2024-12-13 13:40:25,244 - INFO - now the learning rate is: 0.0004990137020288336
2024-12-13 13:40:25,609 - INFO - begin training stage: [11/350]
2024-12-13 13:40:34,842 - INFO - Epoch:[11/350] Step:[50/75] reconstruction_loss: 0.85 contra_loss: 2.89 contra_loss_cluster: 4.31
2024-12-13 13:40:37,704 - INFO - Epoch:[11/350] Step:[75/75] reconstruction_loss: 0.84 contra_loss: 2.31 contra_loss_cluster: 4.31
2024-12-13 13:40:38,337 - INFO - now the learning rate is: 0.0004988067477335482
2024-12-13 13:40:38,662 - INFO - begin training stage: [12/350]
2024-12-13 13:40:47,725 - INFO - Epoch:[12/350] Step:[50/75] reconstruction_loss: 0.82 contra_loss: 2.91 contra_loss_cluster: 4.30
2024-12-13 13:40:50,589 - INFO - Epoch:[12/350] Step:[75/75] reconstruction_loss: 0.81 contra_loss: 2.26 contra_loss_cluster: 4.29
2024-12-13 13:40:51,138 - INFO - now the learning rate is: 0.0004985801504995306
2024-12-13 13:40:51,489 - INFO - begin training stage: [13/350]
2024-12-13 13:41:00,496 - INFO - Epoch:[13/350] Step:[50/75] reconstruction_loss: 0.82 contra_loss: 2.91 contra_loss_cluster: 4.27
2024-12-13 13:41:03,347 - INFO - Epoch:[13/350] Step:[75/75] reconstruction_loss: 0.82 contra_loss: 2.24 contra_loss_cluster: 4.26
2024-12-13 13:41:03,955 - INFO - now the learning rate is: 0.0004983339285831892
2024-12-13 13:41:04,285 - INFO - begin training stage: [14/350]
2024-12-13 13:41:14,984 - INFO - Epoch:[14/350] Step:[50/75] reconstruction_loss: 0.82 contra_loss: 2.92 contra_loss_cluster: 4.23
2024-12-13 13:41:18,137 - INFO - Epoch:[14/350] Step:[75/75] reconstruction_loss: 0.82 contra_loss: 2.26 contra_loss_cluster: 4.21
2024-12-13 13:41:18,793 - INFO - now the learning rate is: 0.000498068101822047
2024-12-13 13:41:19,128 - INFO - begin training stage: [15/350]
2024-12-13 13:41:28,534 - INFO - Epoch:[15/350] Step:[50/75] reconstruction_loss: 0.79 contra_loss: 2.93 contra_loss_cluster: 4.22
2024-12-13 13:41:31,409 - INFO - Epoch:[15/350] Step:[75/75] reconstruction_loss: 0.84 contra_loss: 2.25 contra_loss_cluster: 4.23
2024-12-13 13:41:32,076 - INFO - now the learning rate is: 0.000497782691633144
2024-12-13 13:41:32,413 - INFO - begin training stage: [16/350]
2024-12-13 13:41:41,579 - INFO - Epoch:[16/350] Step:[50/75] reconstruction_loss: 0.79 contra_loss: 2.93 contra_loss_cluster: 4.16
2024-12-13 13:41:44,499 - INFO - Epoch:[16/350] Step:[75/75] reconstruction_loss: 0.80 contra_loss: 2.29 contra_loss_cluster: 4.17
2024-12-13 13:41:45,209 - INFO - now the learning rate is: 0.0004974777210113104
2024-12-13 13:41:45,570 - INFO - begin training stage: [17/350]
2024-12-13 13:41:54,811 - INFO - Epoch:[17/350] Step:[50/75] reconstruction_loss: 0.79 contra_loss: 2.93 contra_loss_cluster: 4.15
2024-12-13 13:41:57,671 - INFO - Epoch:[17/350] Step:[75/75] reconstruction_loss: 0.78 contra_loss: 2.23 contra_loss_cluster: 4.12
2024-12-13 13:41:58,392 - INFO - now the learning rate is: 0.0004971532145273155
2024-12-13 13:41:58,719 - INFO - begin training stage: [18/350]
2024-12-13 13:42:08,137 - INFO - Epoch:[18/350] Step:[50/75] reconstruction_loss: 0.78 contra_loss: 2.90 contra_loss_cluster: 4.11
2024-12-13 13:42:11,002 - INFO - Epoch:[18/350] Step:[75/75] reconstruction_loss: 0.79 contra_loss: 2.28 contra_loss_cluster: 4.08
2024-12-13 13:42:11,710 - INFO - now the learning rate is: 0.0004968091983258864
2024-12-13 13:42:12,036 - INFO - begin training stage: [19/350]
2024-12-13 13:42:21,272 - INFO - Epoch:[19/350] Step:[50/75] reconstruction_loss: 0.78 contra_loss: 2.88 contra_loss_cluster: 4.07
2024-12-13 13:42:24,120 - INFO - Epoch:[19/350] Step:[75/75] reconstruction_loss: 0.77 contra_loss: 2.25 contra_loss_cluster: 4.07
2024-12-13 13:42:24,792 - INFO - now the learning rate is: 0.000496445700123603
2024-12-13 13:42:25,150 - INFO - begin training stage: [20/350]
2024-12-13 13:42:35,067 - INFO - Epoch:[20/350] Step:[50/75] reconstruction_loss: 0.76 contra_loss: 2.90 contra_loss_cluster: 4.06
2024-12-13 13:42:38,118 - INFO - Epoch:[20/350] Step:[75/75] reconstruction_loss: 0.74 contra_loss: 2.24 contra_loss_cluster: 4.06
2024-12-13 13:42:38,742 - INFO - now the learning rate is: 0.0004960627492066642
2024-12-13 13:42:39,088 - INFO - eval data number: 9537
2024-12-13 13:42:46,438 - INFO - loading query data ......
2024-12-13 13:42:52,544 - INFO - retrieval costs: 13.454331874847412
2024-12-13 13:42:53,270 - INFO - hamming distance computation costs: 0.725555419921875
2024-12-13 13:42:54,326 - INFO - hamming ranking costs: 1.0560719966888428
2024-12-13 13:42:54,326 - INFO - labels shape: (3783, 101) and (9537, 101)
2024-12-13 13:42:57,200 - INFO - similarity labels generation costs: 2.8738341331481934
2024-12-13 13:42:57,260 - INFO - topK: 5:, map: 0.3389999118865098
2024-12-13 13:42:57,472 - INFO - topK: 20:, map: 0.27026134728110285
2024-12-13 13:42:57,888 - INFO - topK: 40:, map: 0.2258298762061223
2024-12-13 13:42:58,497 - INFO - topK: 60:, map: 0.19759194657612308
2024-12-13 13:42:59,315 - INFO - topK: 80:, map: 0.17490842386641156
2024-12-13 13:43:00,323 - INFO - topK: 100:, map: 0.15439518536898855
2024-12-13 13:43:00,411 - INFO - begin training stage: [21/350]
2024-12-13 13:43:09,450 - INFO - Epoch:[21/350] Step:[50/75] reconstruction_loss: 0.74 contra_loss: 2.91 contra_loss_cluster: 3.98
2024-12-13 13:43:12,313 - INFO - Epoch:[21/350] Step:[75/75] reconstruction_loss: 0.77 contra_loss: 2.31 contra_loss_cluster: 4.03
2024-12-13 13:43:12,993 - INFO - now the learning rate is: 0.0004956603764285286
2024-12-13 13:43:13,316 - INFO - begin training stage: [22/350]
2024-12-13 13:43:22,425 - INFO - Epoch:[22/350] Step:[50/75] reconstruction_loss: 0.75 contra_loss: 2.91 contra_loss_cluster: 3.98
2024-12-13 13:43:25,252 - INFO - Epoch:[22/350] Step:[75/75] reconstruction_loss: 0.76 contra_loss: 2.24 contra_loss_cluster: 3.97
2024-12-13 13:43:25,806 - INFO - now the learning rate is: 0.0004952386142074288
2024-12-13 13:43:26,128 - INFO - begin training stage: [23/350]
2024-12-13 13:43:35,155 - INFO - Epoch:[23/350] Step:[50/75] reconstruction_loss: 0.75 contra_loss: 2.87 contra_loss_cluster: 3.99
2024-12-13 13:43:38,005 - INFO - Epoch:[23/350] Step:[75/75] reconstruction_loss: 0.78 contra_loss: 2.28 contra_loss_cluster: 3.92
2024-12-13 13:43:38,723 - INFO - now the learning rate is: 0.0004947974965237591
2024-12-13 13:43:39,057 - INFO - begin training stage: [24/350]
2024-12-13 13:43:48,029 - INFO - Epoch:[24/350] Step:[50/75] reconstruction_loss: 0.76 contra_loss: 2.90 contra_loss_cluster: 3.90
2024-12-13 13:43:50,888 - INFO - Epoch:[24/350] Step:[75/75] reconstruction_loss: 0.80 contra_loss: 2.24 contra_loss_cluster: 3.93
2024-12-13 13:43:51,599 - INFO - now the learning rate is: 0.0004943370589173384
2024-12-13 13:43:51,946 - INFO - begin training stage: [25/350]
2024-12-13 13:44:01,203 - INFO - Epoch:[25/350] Step:[50/75] reconstruction_loss: 0.73 contra_loss: 2.92 contra_loss_cluster: 3.92
2024-12-13 13:44:04,044 - INFO - Epoch:[25/350] Step:[75/75] reconstruction_loss: 0.75 contra_loss: 2.23 contra_loss_cluster: 3.89
2024-12-13 13:44:04,676 - INFO - now the learning rate is: 0.0004938573384845465
2024-12-13 13:44:05,008 - INFO - begin training stage: [26/350]
2024-12-13 13:44:14,094 - INFO - Epoch:[26/350] Step:[50/75] reconstruction_loss: 0.77 contra_loss: 2.91 contra_loss_cluster: 3.89
2024-12-13 13:44:16,938 - INFO - Epoch:[26/350] Step:[75/75] reconstruction_loss: 0.71 contra_loss: 2.19 contra_loss_cluster: 3.88
2024-12-13 13:44:17,462 - INFO - now the learning rate is: 0.0004933583738753353
2024-12-13 13:44:17,792 - INFO - begin training stage: [27/350]
2024-12-13 13:44:26,884 - INFO - Epoch:[27/350] Step:[50/75] reconstruction_loss: 0.73 contra_loss: 2.85 contra_loss_cluster: 3.84
2024-12-13 13:44:29,720 - INFO - Epoch:[27/350] Step:[75/75] reconstruction_loss: 0.78 contra_loss: 2.32 contra_loss_cluster: 3.86
2024-12-13 13:44:30,274 - INFO - now the learning rate is: 0.0004928402052901147
2024-12-13 13:44:30,625 - INFO - begin training stage: [28/350]
2024-12-13 13:44:39,896 - INFO - Epoch:[28/350] Step:[50/75] reconstruction_loss: 0.74 contra_loss: 2.91 contra_loss_cluster: 3.79
2024-12-13 13:44:42,738 - INFO - Epoch:[28/350] Step:[75/75] reconstruction_loss: 0.76 contra_loss: 2.26 contra_loss_cluster: 3.84
2024-12-13 13:44:43,356 - INFO - now the learning rate is: 0.0004923028744765143
2024-12-13 13:44:43,693 - INFO - begin training stage: [29/350]
2024-12-13 13:44:52,676 - INFO - Epoch:[29/350] Step:[50/75] reconstruction_loss: 0.71 contra_loss: 2.91 contra_loss_cluster: 3.76
2024-12-13 13:44:55,512 - INFO - Epoch:[29/350] Step:[75/75] reconstruction_loss: 0.70 contra_loss: 2.26 contra_loss_cluster: 3.78
2024-12-13 13:44:56,066 - INFO - now the learning rate is: 0.0004917464247260196
2024-12-13 13:44:56,404 - INFO - begin training stage: [30/350]
2024-12-13 13:45:05,220 - INFO - Epoch:[30/350] Step:[50/75] reconstruction_loss: 0.71 contra_loss: 2.91 contra_loss_cluster: 3.77
2024-12-13 13:45:08,090 - INFO - Epoch:[30/350] Step:[75/75] reconstruction_loss: 0.76 contra_loss: 2.23 contra_loss_cluster: 3.74
2024-12-13 13:45:08,755 - INFO - now the learning rate is: 0.0004911709008704838
2024-12-13 13:45:09,084 - INFO - begin training stage: [31/350]
2024-12-13 13:45:18,063 - INFO - Epoch:[31/350] Step:[50/75] reconstruction_loss: 0.73 contra_loss: 2.89 contra_loss_cluster: 3.72
2024-12-13 13:45:20,918 - INFO - Epoch:[31/350] Step:[75/75] reconstruction_loss: 0.77 contra_loss: 2.32 contra_loss_cluster: 3.69
2024-12-13 13:45:21,556 - INFO - now the learning rate is: 0.0004905763492785162
2024-12-13 13:45:21,891 - INFO - begin training stage: [32/350]
2024-12-13 13:45:31,240 - INFO - Epoch:[32/350] Step:[50/75] reconstruction_loss: 0.74 contra_loss: 2.89 contra_loss_cluster: 3.67
2024-12-13 13:45:34,134 - INFO - Epoch:[32/350] Step:[75/75] reconstruction_loss: 0.77 contra_loss: 2.22 contra_loss_cluster: 3.66
2024-12-13 13:45:34,786 - INFO - now the learning rate is: 0.0004899628178517462
2024-12-13 13:45:35,120 - INFO - begin training stage: [33/350]
2024-12-13 13:45:44,113 - INFO - Epoch:[33/350] Step:[50/75] reconstruction_loss: 0.72 contra_loss: 2.90 contra_loss_cluster: 3.66
2024-12-13 13:45:46,956 - INFO - Epoch:[33/350] Step:[75/75] reconstruction_loss: 0.73 contra_loss: 2.26 contra_loss_cluster: 3.65
2024-12-13 13:45:47,492 - INFO - now the learning rate is: 0.0004893303560209644
2024-12-13 13:45:47,824 - INFO - begin training stage: [34/350]
2024-12-13 13:45:56,752 - INFO - Epoch:[34/350] Step:[50/75] reconstruction_loss: 0.72 contra_loss: 2.90 contra_loss_cluster: 3.64
2024-12-13 13:45:59,589 - INFO - Epoch:[34/350] Step:[75/75] reconstruction_loss: 0.69 contra_loss: 2.25 contra_loss_cluster: 3.62
2024-12-13 13:46:00,259 - INFO - now the learning rate is: 0.0004886790147421392
2024-12-13 13:46:00,601 - INFO - begin training stage: [35/350]
2024-12-13 13:46:09,432 - INFO - Epoch:[35/350] Step:[50/75] reconstruction_loss: 0.74 contra_loss: 2.91 contra_loss_cluster: 3.60
2024-12-13 13:46:12,277 - INFO - Epoch:[35/350] Step:[75/75] reconstruction_loss: 0.69 contra_loss: 2.24 contra_loss_cluster: 3.53
2024-12-13 13:46:12,993 - INFO - now the learning rate is: 0.00048800884649231223
2024-12-13 13:46:13,340 - INFO - begin training stage: [36/350]
2024-12-13 13:46:22,568 - INFO - Epoch:[36/350] Step:[50/75] reconstruction_loss: 0.75 contra_loss: 2.89 contra_loss_cluster: 3.59
2024-12-13 13:46:25,420 - INFO - Epoch:[36/350] Step:[75/75] reconstruction_loss: 0.71 contra_loss: 2.27 contra_loss_cluster: 3.58
2024-12-13 13:46:26,005 - INFO - now the learning rate is: 0.00048731990526537
2024-12-13 13:46:26,340 - INFO - begin training stage: [37/350]
2024-12-13 13:46:35,495 - INFO - Epoch:[37/350] Step:[50/75] reconstruction_loss: 0.73 contra_loss: 2.90 contra_loss_cluster: 3.51
2024-12-13 13:46:38,332 - INFO - Epoch:[37/350] Step:[75/75] reconstruction_loss: 0.75 contra_loss: 2.19 contra_loss_cluster: 3.50
2024-12-13 13:46:39,049 - INFO - now the learning rate is: 0.0004866122465676939
2024-12-13 13:46:39,382 - INFO - begin training stage: [38/350]
2024-12-13 13:46:48,426 - INFO - Epoch:[38/350] Step:[50/75] reconstruction_loss: 0.72 contra_loss: 2.88 contra_loss_cluster: 3.50
2024-12-13 13:46:51,284 - INFO - Epoch:[38/350] Step:[75/75] reconstruction_loss: 0.70 contra_loss: 2.28 contra_loss_cluster: 3.46
2024-12-13 13:46:51,881 - INFO - now the learning rate is: 0.00048588592741368814
2024-12-13 13:46:52,217 - INFO - begin training stage: [39/350]
2024-12-13 13:47:01,422 - INFO - Epoch:[39/350] Step:[50/75] reconstruction_loss: 0.74 contra_loss: 2.85 contra_loss_cluster: 3.50
2024-12-13 13:47:04,266 - INFO - Epoch:[39/350] Step:[75/75] reconstruction_loss: 0.75 contra_loss: 2.21 contra_loss_cluster: 3.49
2024-12-13 13:47:04,945 - INFO - now the learning rate is: 0.0004851410063211859
2024-12-13 13:47:05,305 - INFO - begin training stage: [40/350]
2024-12-13 13:47:14,261 - INFO - Epoch:[40/350] Step:[50/75] reconstruction_loss: 0.71 contra_loss: 2.88 contra_loss_cluster: 3.48
2024-12-13 13:47:17,139 - INFO - Epoch:[40/350] Step:[75/75] reconstruction_loss: 0.65 contra_loss: 2.30 contra_loss_cluster: 3.44
2024-12-13 13:47:17,685 - INFO - now the learning rate is: 0.0004843775433067352
2024-12-13 13:47:18,010 - INFO - eval data number: 9537
2024-12-13 13:47:25,041 - INFO - loading query data ......
2024-12-13 13:47:32,263 - INFO - retrieval costs: 14.25191044807434
2024-12-13 13:47:32,961 - INFO - hamming distance computation costs: 0.697209358215332
2024-12-13 13:47:34,014 - INFO - hamming ranking costs: 1.0536584854125977
2024-12-13 13:47:34,014 - INFO - labels shape: (3783, 101) and (9537, 101)
2024-12-13 13:47:36,847 - INFO - similarity labels generation costs: 2.832690477371216
2024-12-13 13:47:36,907 - INFO - topK: 5:, map: 0.4062930654683232
2024-12-13 13:47:37,122 - INFO - topK: 20:, map: 0.336304505134286
2024-12-13 13:47:37,532 - INFO - topK: 40:, map: 0.2913523539300614
2024-12-13 13:47:38,144 - INFO - topK: 60:, map: 0.25824549085570336
2024-12-13 13:47:38,946 - INFO - topK: 80:, map: 0.22837331439875788
2024-12-13 13:47:39,947 - INFO - topK: 100:, map: 0.20151216694108426
2024-12-13 13:47:40,095 - INFO - begin training stage: [41/350]
2024-12-13 13:47:49,207 - INFO - Epoch:[41/350] Step:[50/75] reconstruction_loss: 0.69 contra_loss: 2.91 contra_loss_cluster: 3.43
2024-12-13 13:47:52,029 - INFO - Epoch:[41/350] Step:[75/75] reconstruction_loss: 0.69 contra_loss: 2.27 contra_loss_cluster: 3.38
2024-12-13 13:47:52,726 - INFO - now the learning rate is: 0.00048359559988076336
2024-12-13 13:47:53,072 - INFO - begin training stage: [42/350]
2024-12-13 13:48:02,143 - INFO - Epoch:[42/350] Step:[50/75] reconstruction_loss: 0.74 contra_loss: 2.85 contra_loss_cluster: 3.39
2024-12-13 13:48:04,983 - INFO - Epoch:[42/350] Step:[75/75] reconstruction_loss: 0.73 contra_loss: 2.27 contra_loss_cluster: 3.36
2024-12-13 13:48:05,606 - INFO - now the learning rate is: 0.0004827952390426211
2024-12-13 13:48:05,949 - INFO - begin training stage: [43/350]
2024-12-13 13:48:15,234 - INFO - Epoch:[43/350] Step:[50/75] reconstruction_loss: 0.71 contra_loss: 2.84 contra_loss_cluster: 3.40
2024-12-13 13:48:18,091 - INFO - Epoch:[43/350] Step:[75/75] reconstruction_loss: 0.67 contra_loss: 2.20 contra_loss_cluster: 3.33
2024-12-13 13:48:18,646 - INFO - now the learning rate is: 0.0004819765252755069
2024-12-13 13:48:19,007 - INFO - begin training stage: [44/350]
2024-12-13 13:48:28,254 - INFO - Epoch:[44/350] Step:[50/75] reconstruction_loss: 0.68 contra_loss: 2.89 contra_loss_cluster: 3.33
2024-12-13 13:48:31,099 - INFO - Epoch:[44/350] Step:[75/75] reconstruction_loss: 0.69 contra_loss: 2.19 contra_loss_cluster: 3.28
2024-12-13 13:48:31,651 - INFO - now the learning rate is: 0.00048113952454127186
2024-12-13 13:48:31,992 - INFO - begin training stage: [45/350]
2024-12-13 13:48:41,122 - INFO - Epoch:[45/350] Step:[50/75] reconstruction_loss: 0.70 contra_loss: 2.85 contra_loss_cluster: 3.27
2024-12-13 13:48:43,971 - INFO - Epoch:[45/350] Step:[75/75] reconstruction_loss: 0.69 contra_loss: 2.25 contra_loss_cluster: 3.34
2024-12-13 13:48:44,540 - INFO - now the learning rate is: 0.00048028430427510493
2024-12-13 13:48:44,872 - INFO - begin training stage: [46/350]
2024-12-13 13:48:54,106 - INFO - Epoch:[46/350] Step:[50/75] reconstruction_loss: 0.66 contra_loss: 2.89 contra_loss_cluster: 3.33
2024-12-13 13:48:56,955 - INFO - Epoch:[46/350] Step:[75/75] reconstruction_loss: 0.74 contra_loss: 2.21 contra_loss_cluster: 3.25
2024-12-13 13:48:57,631 - INFO - now the learning rate is: 0.0004794109333801003
2024-12-13 13:48:57,992 - INFO - begin training stage: [47/350]
2024-12-13 13:49:07,348 - INFO - Epoch:[47/350] Step:[50/75] reconstruction_loss: 0.70 contra_loss: 2.86 contra_loss_cluster: 3.29
2024-12-13 13:49:10,267 - INFO - Epoch:[47/350] Step:[75/75] reconstruction_loss: 0.72 contra_loss: 2.22 contra_loss_cluster: 3.23
2024-12-13 13:49:10,932 - INFO - now the learning rate is: 0.0004785194822217058
2024-12-13 13:49:11,253 - INFO - begin training stage: [48/350]
2024-12-13 13:49:20,902 - INFO - Epoch:[48/350] Step:[50/75] reconstruction_loss: 0.69 contra_loss: 2.89 contra_loss_cluster: 3.23
2024-12-13 13:49:23,824 - INFO - Epoch:[48/350] Step:[75/75] reconstruction_loss: 0.69 contra_loss: 2.24 contra_loss_cluster: 3.16
2024-12-13 13:49:24,568 - INFO - now the learning rate is: 0.0004776100226220537
2024-12-13 13:49:24,903 - INFO - begin training stage: [49/350]
2024-12-13 13:49:34,074 - INFO - Epoch:[49/350] Step:[50/75] reconstruction_loss: 0.71 contra_loss: 2.88 contra_loss_cluster: 3.19
2024-12-13 13:49:36,960 - INFO - Epoch:[49/350] Step:[75/75] reconstruction_loss: 0.71 contra_loss: 2.20 contra_loss_cluster: 3.25
2024-12-13 13:49:37,616 - INFO - now the learning rate is: 0.0004766826278541742
2024-12-13 13:49:37,960 - INFO - begin training stage: [50/350]
2024-12-13 13:49:47,257 - INFO - Epoch:[50/350] Step:[50/75] reconstruction_loss: 0.68 contra_loss: 2.87 contra_loss_cluster: 3.11
2024-12-13 13:49:50,101 - INFO - Epoch:[50/350] Step:[75/75] reconstruction_loss: 0.71 contra_loss: 2.22 contra_loss_cluster: 3.14
2024-12-13 13:49:50,790 - INFO - now the learning rate is: 0.0004757373726360921
2024-12-13 13:49:51,121 - INFO - begin training stage: [51/350]
2024-12-13 13:49:55,881 - INFO - Epoch:[51/350] Step:[10/75] reconstruction_loss: 0.67 contra_loss: 2.89 contra_loss_cluster: 3.10
2024-12-13 13:49:57,268 - INFO - Epoch:[51/350] Step:[20/75] reconstruction_loss: 0.68 contra_loss: 2.86 contra_loss_cluster: 3.22
2024-12-13 13:49:58,624 - INFO - Epoch:[51/350] Step:[30/75] reconstruction_loss: 0.65 contra_loss: 2.88 contra_loss_cluster: 3.15
2024-12-13 13:49:59,961 - INFO - Epoch:[51/350] Step:[40/75] reconstruction_loss: 0.68 contra_loss: 2.89 contra_loss_cluster: 3.16
2024-12-13 13:50:01,299 - INFO - Epoch:[51/350] Step:[50/75] reconstruction_loss: 0.69 contra_loss: 2.85 contra_loss_cluster: 3.12
2024-12-13 13:50:02,606 - INFO - Epoch:[51/350] Step:[60/75] reconstruction_loss: 0.67 contra_loss: 2.86 contra_loss_cluster: 3.15
2024-12-13 13:50:03,909 - INFO - Epoch:[51/350] Step:[70/75] reconstruction_loss: 0.70 contra_loss: 2.89 contra_loss_cluster: 3.13
2024-12-13 13:50:05,168 - INFO - now the learning rate is: 0.0004747743331248068
2024-12-13 13:50:05,543 - INFO - begin training stage: [52/350]
2024-12-13 13:50:10,001 - INFO - Epoch:[52/350] Step:[10/75] reconstruction_loss: 0.72 contra_loss: 2.86 contra_loss_cluster: 3.18
2024-12-13 13:50:11,323 - INFO - Epoch:[52/350] Step:[20/75] reconstruction_loss: 0.67 contra_loss: 2.88 contra_loss_cluster: 3.07
2024-12-13 13:50:12,655 - INFO - Epoch:[52/350] Step:[30/75] reconstruction_loss: 0.71 contra_loss: 2.86 contra_loss_cluster: 3.16
2024-12-13 13:50:13,997 - INFO - Epoch:[52/350] Step:[40/75] reconstruction_loss: 0.64 contra_loss: 2.86 contra_loss_cluster: 3.14
2024-12-13 13:50:15,323 - INFO - Epoch:[52/350] Step:[50/75] reconstruction_loss: 0.71 contra_loss: 2.88 contra_loss_cluster: 3.18
2024-12-13 13:50:16,640 - INFO - Epoch:[52/350] Step:[60/75] reconstruction_loss: 0.69 contra_loss: 2.86 contra_loss_cluster: 3.19
2024-12-13 13:50:17,950 - INFO - Epoch:[52/350] Step:[70/75] reconstruction_loss: 0.66 contra_loss: 2.87 contra_loss_cluster: 3.09
2024-12-13 13:50:19,204 - INFO - now the learning rate is: 0.0004737935869101564
2024-12-13 13:50:19,529 - INFO - begin training stage: [53/350]
2024-12-13 13:50:24,453 - INFO - Epoch:[53/350] Step:[10/75] reconstruction_loss: 0.68 contra_loss: 2.86 contra_loss_cluster: 3.10
2024-12-13 13:50:25,800 - INFO - Epoch:[53/350] Step:[20/75] reconstruction_loss: 0.68 contra_loss: 2.85 contra_loss_cluster: 3.12
2024-12-13 13:50:27,134 - INFO - Epoch:[53/350] Step:[30/75] reconstruction_loss: 0.68 contra_loss: 2.86 contra_loss_cluster: 3.08
2024-12-13 13:50:28,477 - INFO - Epoch:[53/350] Step:[40/75] reconstruction_loss: 0.68 contra_loss: 2.87 contra_loss_cluster: 3.06
2024-12-13 13:50:29,815 - INFO - Epoch:[53/350] Step:[50/75] reconstruction_loss: 0.70 contra_loss: 2.87 contra_loss_cluster: 3.17
2024-12-13 13:50:31,144 - INFO - Epoch:[53/350] Step:[60/75] reconstruction_loss: 0.67 contra_loss: 2.86 contra_loss_cluster: 3.03
2024-12-13 13:50:32,465 - INFO - Epoch:[53/350] Step:[70/75] reconstruction_loss: 0.67 contra_loss: 2.89 contra_loss_cluster: 3.10
2024-12-13 13:50:33,708 - INFO - now the learning rate is: 0.0004727952130085668
2024-12-13 13:50:34,036 - INFO - begin training stage: [54/350]
2024-12-13 13:50:38,869 - INFO - Epoch:[54/350] Step:[10/75] reconstruction_loss: 0.67 contra_loss: 2.88 contra_loss_cluster: 2.98
2024-12-13 13:50:40,203 - INFO - Epoch:[54/350] Step:[20/75] reconstruction_loss: 0.70 contra_loss: 2.90 contra_loss_cluster: 3.02
2024-12-13 13:50:41,539 - INFO - Epoch:[54/350] Step:[30/75] reconstruction_loss: 0.67 contra_loss: 2.85 contra_loss_cluster: 3.05
2024-12-13 13:50:42,882 - INFO - Epoch:[54/350] Step:[40/75] reconstruction_loss: 0.70 contra_loss: 2.88 contra_loss_cluster: 3.06
2024-12-13 13:50:44,224 - INFO - Epoch:[54/350] Step:[50/75] reconstruction_loss: 0.68 contra_loss: 2.88 contra_loss_cluster: 3.06
2024-12-13 13:50:45,561 - INFO - Epoch:[54/350] Step:[60/75] reconstruction_loss: 0.69 contra_loss: 2.85 contra_loss_cluster: 3.07
2024-12-13 13:50:46,878 - INFO - Epoch:[54/350] Step:[70/75] reconstruction_loss: 0.67 contra_loss: 2.88 contra_loss_cluster: 3.03
2024-12-13 13:50:48,065 - INFO - now the learning rate is: 0.0004717792918566854
2024-12-13 13:50:48,392 - INFO - begin training stage: [55/350]
2024-12-13 13:50:53,530 - INFO - Epoch:[55/350] Step:[10/75] reconstruction_loss: 0.66 contra_loss: 2.88 contra_loss_cluster: 3.10
2024-12-13 13:50:54,878 - INFO - Epoch:[55/350] Step:[20/75] reconstruction_loss: 0.65 contra_loss: 2.84 contra_loss_cluster: 3.04
2024-12-13 13:50:56,219 - INFO - Epoch:[55/350] Step:[30/75] reconstruction_loss: 0.65 contra_loss: 2.85 contra_loss_cluster: 2.98
2024-12-13 13:50:57,578 - INFO - Epoch:[55/350] Step:[40/75] reconstruction_loss: 0.70 contra_loss: 2.88 contra_loss_cluster: 3.14
2024-12-13 13:50:58,930 - INFO - Epoch:[55/350] Step:[50/75] reconstruction_loss: 0.69 contra_loss: 2.87 contra_loss_cluster: 3.10
2024-12-13 13:51:00,246 - INFO - Epoch:[55/350] Step:[60/75] reconstruction_loss: 0.72 contra_loss: 2.87 contra_loss_cluster: 3.03
2024-12-13 13:51:01,557 - INFO - Epoch:[55/350] Step:[70/75] reconstruction_loss: 0.67 contra_loss: 2.86 contra_loss_cluster: 3.05
2024-12-13 13:51:02,841 - INFO - now the learning rate is: 0.0004707459053049003
2024-12-13 13:51:03,164 - INFO - begin training stage: [56/350]
2024-12-13 13:51:07,931 - INFO - Epoch:[56/350] Step:[10/75] reconstruction_loss: 0.70 contra_loss: 2.90 contra_loss_cluster: 3.06
2024-12-13 13:51:09,315 - INFO - Epoch:[56/350] Step:[20/75] reconstruction_loss: 0.69 contra_loss: 2.86 contra_loss_cluster: 3.00
2024-12-13 13:51:10,673 - INFO - Epoch:[56/350] Step:[30/75] reconstruction_loss: 0.70 contra_loss: 2.85 contra_loss_cluster: 3.04
2024-12-13 13:51:12,024 - INFO - Epoch:[56/350] Step:[40/75] reconstruction_loss: 0.68 contra_loss: 2.88 contra_loss_cluster: 3.00
2024-12-13 13:51:13,391 - INFO - Epoch:[56/350] Step:[50/75] reconstruction_loss: 0.69 contra_loss: 2.86 contra_loss_cluster: 3.03
2024-12-13 13:51:14,716 - INFO - Epoch:[56/350] Step:[60/75] reconstruction_loss: 0.69 contra_loss: 2.88 contra_loss_cluster: 3.01
2024-12-13 13:51:16,025 - INFO - Epoch:[56/350] Step:[70/75] reconstruction_loss: 0.67 contra_loss: 2.87 contra_loss_cluster: 2.96
2024-12-13 13:51:17,215 - INFO - now the learning rate is: 0.000469695136610746
2024-12-13 13:51:17,535 - INFO - begin training stage: [57/350]
2024-12-13 13:51:22,183 - INFO - Epoch:[57/350] Step:[10/75] reconstruction_loss: 0.70 contra_loss: 2.86 contra_loss_cluster: 3.01
2024-12-13 13:51:23,527 - INFO - Epoch:[57/350] Step:[20/75] reconstruction_loss: 0.66 contra_loss: 2.87 contra_loss_cluster: 3.04
2024-12-13 13:51:24,871 - INFO - Epoch:[57/350] Step:[30/75] reconstruction_loss: 0.65 contra_loss: 2.87 contra_loss_cluster: 3.00
2024-12-13 13:51:26,213 - INFO - Epoch:[57/350] Step:[40/75] reconstruction_loss: 0.68 contra_loss: 2.87 contra_loss_cluster: 3.01
2024-12-13 13:51:27,561 - INFO - Epoch:[57/350] Step:[50/75] reconstruction_loss: 0.67 contra_loss: 2.89 contra_loss_cluster: 2.96
2024-12-13 13:51:28,880 - INFO - Epoch:[57/350] Step:[60/75] reconstruction_loss: 0.71 contra_loss: 2.85 contra_loss_cluster: 2.98
2024-12-13 13:51:30,190 - INFO - Epoch:[57/350] Step:[70/75] reconstruction_loss: 0.68 contra_loss: 2.88 contra_loss_cluster: 2.94
2024-12-13 13:51:31,386 - INFO - now the learning rate is: 0.0004686270704321957
2024-12-13 13:51:31,728 - INFO - begin training stage: [58/350]
2024-12-13 13:51:36,629 - INFO - Epoch:[58/350] Step:[10/75] reconstruction_loss: 0.68 contra_loss: 2.84 contra_loss_cluster: 3.00
2024-12-13 13:51:37,973 - INFO - Epoch:[58/350] Step:[20/75] reconstruction_loss: 0.66 contra_loss: 2.88 contra_loss_cluster: 2.99
2024-12-13 13:51:39,307 - INFO - Epoch:[58/350] Step:[30/75] reconstruction_loss: 0.66 contra_loss: 2.86 contra_loss_cluster: 2.91
2024-12-13 13:51:40,640 - INFO - Epoch:[58/350] Step:[40/75] reconstruction_loss: 0.68 contra_loss: 2.87 contra_loss_cluster: 2.96
2024-12-13 13:51:41,981 - INFO - Epoch:[58/350] Step:[50/75] reconstruction_loss: 0.68 contra_loss: 2.85 contra_loss_cluster: 2.94
2024-12-13 13:51:43,306 - INFO - Epoch:[58/350] Step:[60/75] reconstruction_loss: 0.71 contra_loss: 2.87 contra_loss_cluster: 3.02
2024-12-13 13:51:44,621 - INFO - Epoch:[58/350] Step:[70/75] reconstruction_loss: 0.64 contra_loss: 2.83 contra_loss_cluster: 2.93
2024-12-13 13:51:45,813 - INFO - now the learning rate is: 0.0004675417928208402
2024-12-13 13:51:46,127 - INFO - begin training stage: [59/350]
2024-12-13 13:51:50,956 - INFO - Epoch:[59/350] Step:[10/75] reconstruction_loss: 0.68 contra_loss: 2.85 contra_loss_cluster: 2.91
2024-12-13 13:51:52,297 - INFO - Epoch:[59/350] Step:[20/75] reconstruction_loss: 0.70 contra_loss: 2.84 contra_loss_cluster: 3.00
2024-12-13 13:51:53,640 - INFO - Epoch:[59/350] Step:[30/75] reconstruction_loss: 0.66 contra_loss: 2.86 contra_loss_cluster: 2.93
2024-12-13 13:51:54,991 - INFO - Epoch:[59/350] Step:[40/75] reconstruction_loss: 0.66 contra_loss: 2.85 contra_loss_cluster: 2.87
2024-12-13 13:51:56,348 - INFO - Epoch:[59/350] Step:[50/75] reconstruction_loss: 0.66 contra_loss: 2.90 contra_loss_cluster: 2.90
2024-12-13 13:51:57,676 - INFO - Epoch:[59/350] Step:[60/75] reconstruction_loss: 0.68 contra_loss: 2.89 contra_loss_cluster: 2.91
2024-12-13 13:51:58,987 - INFO - Epoch:[59/350] Step:[70/75] reconstruction_loss: 0.64 contra_loss: 2.89 contra_loss_cluster: 2.95
2024-12-13 13:52:00,314 - INFO - now the learning rate is: 0.0004664393912149552
2024-12-13 13:52:00,642 - INFO - begin training stage: [60/350]
2024-12-13 13:52:05,508 - INFO - Epoch:[60/350] Step:[10/75] reconstruction_loss: 0.67 contra_loss: 2.85 contra_loss_cluster: 2.94
2024-12-13 13:52:06,860 - INFO - Epoch:[60/350] Step:[20/75] reconstruction_loss: 0.66 contra_loss: 2.86 contra_loss_cluster: 2.92
2024-12-13 13:52:08,194 - INFO - Epoch:[60/350] Step:[30/75] reconstruction_loss: 0.65 contra_loss: 2.87 contra_loss_cluster: 2.97
2024-12-13 13:52:09,525 - INFO - Epoch:[60/350] Step:[40/75] reconstruction_loss: 0.68 contra_loss: 2.86 contra_loss_cluster: 2.84
2024-12-13 13:52:10,859 - INFO - Epoch:[60/350] Step:[50/75] reconstruction_loss: 0.68 contra_loss: 2.84 contra_loss_cluster: 2.91
2024-12-13 13:52:12,184 - INFO - Epoch:[60/350] Step:[60/75] reconstruction_loss: 0.70 contra_loss: 2.86 contra_loss_cluster: 2.86
2024-12-13 13:52:13,500 - INFO - Epoch:[60/350] Step:[70/75] reconstruction_loss: 0.65 contra_loss: 2.86 contra_loss_cluster: 2.91
2024-12-13 13:52:14,700 - INFO - now the learning rate is: 0.00046531995443245663
2024-12-13 13:52:15,045 - INFO - eval data number: 9537
2024-12-13 13:52:22,162 - INFO - loading query data ......
2024-12-13 13:52:27,177 - INFO - retrieval costs: 12.129271745681763
2024-12-13 13:52:27,957 - INFO - hamming distance computation costs: 0.780045747756958
2024-12-13 13:52:29,015 - INFO - hamming ranking costs: 1.0584197044372559
2024-12-13 13:52:29,015 - INFO - labels shape: (3783, 101) and (9537, 101)
2024-12-13 13:52:31,856 - INFO - similarity labels generation costs: 2.840811014175415
2024-12-13 13:52:31,936 - INFO - topK: 5:, map: 0.43525156401445064
2024-12-13 13:52:32,218 - INFO - topK: 20:, map: 0.3668463187943833
2024-12-13 13:52:32,774 - INFO - topK: 40:, map: 0.3206618670530993
2024-12-13 13:52:33,589 - INFO - topK: 60:, map: 0.28350720255754464
2024-12-13 13:52:34,688 - INFO - topK: 80:, map: 0.2509095174991389
2024-12-13 13:52:36,048 - INFO - topK: 100:, map: 0.22348349111319668
2024-12-13 13:52:36,179 - INFO - begin training stage: [61/350]
2024-12-13 13:52:41,222 - INFO - Epoch:[61/350] Step:[10/75] reconstruction_loss: 0.66 contra_loss: 2.87 contra_loss_cluster: 2.85
2024-12-13 13:52:42,553 - INFO - Epoch:[61/350] Step:[20/75] reconstruction_loss: 0.66 contra_loss: 2.86 contra_loss_cluster: 2.86
2024-12-13 13:52:43,881 - INFO - Epoch:[61/350] Step:[30/75] reconstruction_loss: 0.68 contra_loss: 2.86 contra_loss_cluster: 2.97
2024-12-13 13:52:45,218 - INFO - Epoch:[61/350] Step:[40/75] reconstruction_loss: 0.69 contra_loss: 2.85 contra_loss_cluster: 2.93
2024-12-13 13:52:46,569 - INFO - Epoch:[61/350] Step:[50/75] reconstruction_loss: 0.71 contra_loss: 2.88 contra_loss_cluster: 2.81
2024-12-13 13:52:47,887 - INFO - Epoch:[61/350] Step:[60/75] reconstruction_loss: 0.70 contra_loss: 2.83 contra_loss_cluster: 2.91
2024-12-13 13:52:49,200 - INFO - Epoch:[61/350] Step:[70/75] reconstruction_loss: 0.68 contra_loss: 2.90 contra_loss_cluster: 2.84
2024-12-13 13:52:50,533 - INFO - now the learning rate is: 0.0004641835726637445
2024-12-13 13:52:50,855 - INFO - begin training stage: [62/350]
2024-12-13 13:52:55,779 - INFO - Epoch:[62/350] Step:[10/75] reconstruction_loss: 0.67 contra_loss: 2.87 contra_loss_cluster: 2.92
2024-12-13 13:52:57,125 - INFO - Epoch:[62/350] Step:[20/75] reconstruction_loss: 0.66 contra_loss: 2.89 contra_loss_cluster: 2.89
2024-12-13 13:52:58,483 - INFO - Epoch:[62/350] Step:[30/75] reconstruction_loss: 0.65 contra_loss: 2.87 contra_loss_cluster: 2.84
2024-12-13 13:52:59,807 - INFO - Epoch:[62/350] Step:[40/75] reconstruction_loss: 0.66 contra_loss: 2.88 contra_loss_cluster: 2.90
2024-12-13 13:53:01,135 - INFO - Epoch:[62/350] Step:[50/75] reconstruction_loss: 0.64 contra_loss: 2.86 contra_loss_cluster: 2.77
2024-12-13 13:53:02,458 - INFO - Epoch:[62/350] Step:[60/75] reconstruction_loss: 0.68 contra_loss: 2.86 contra_loss_cluster: 2.84
2024-12-13 13:53:03,771 - INFO - Epoch:[62/350] Step:[70/75] reconstruction_loss: 0.68 contra_loss: 2.84 contra_loss_cluster: 2.94
2024-12-13 13:53:05,011 - INFO - now the learning rate is: 0.00046303033746443695
2024-12-13 13:53:05,347 - INFO - begin training stage: [63/350]
2024-12-13 13:53:10,038 - INFO - Epoch:[63/350] Step:[10/75] reconstruction_loss: 0.66 contra_loss: 2.85 contra_loss_cluster: 2.80
2024-12-13 13:53:11,386 - INFO - Epoch:[63/350] Step:[20/75] reconstruction_loss: 0.64 contra_loss: 2.87 contra_loss_cluster: 2.78
2024-12-13 13:53:12,733 - INFO - Epoch:[63/350] Step:[30/75] reconstruction_loss: 0.69 contra_loss: 2.87 contra_loss_cluster: 2.84
2024-12-13 13:53:14,092 - INFO - Epoch:[63/350] Step:[40/75] reconstruction_loss: 0.67 contra_loss: 2.86 contra_loss_cluster: 2.72
2024-12-13 13:53:15,457 - INFO - Epoch:[63/350] Step:[50/75] reconstruction_loss: 0.67 contra_loss: 2.87 contra_loss_cluster: 2.72
2024-12-13 13:53:16,780 - INFO - Epoch:[63/350] Step:[60/75] reconstruction_loss: 0.68 contra_loss: 2.88 contra_loss_cluster: 2.82
2024-12-13 13:53:18,089 - INFO - Epoch:[63/350] Step:[70/75] reconstruction_loss: 0.66 contra_loss: 2.88 contra_loss_cluster: 2.76
2024-12-13 13:53:19,408 - INFO - now the learning rate is: 0.0004618603417479932
2024-12-13 13:53:19,721 - INFO - begin training stage: [64/350]
2024-12-13 13:53:24,485 - INFO - Epoch:[64/350] Step:[10/75] reconstruction_loss: 0.67 contra_loss: 2.84 contra_loss_cluster: 2.81
2024-12-13 13:53:25,842 - INFO - Epoch:[64/350] Step:[20/75] reconstruction_loss: 0.68 contra_loss: 2.88 contra_loss_cluster: 2.81
2024-12-13 13:53:27,189 - INFO - Epoch:[64/350] Step:[30/75] reconstruction_loss: 0.67 contra_loss: 2.88 contra_loss_cluster: 2.76
2024-12-13 13:53:28,530 - INFO - Epoch:[64/350] Step:[40/75] reconstruction_loss: 0.70 contra_loss: 2.86 contra_loss_cluster: 2.85
2024-12-13 13:53:29,869 - INFO - Epoch:[64/350] Step:[50/75] reconstruction_loss: 0.64 contra_loss: 2.83 contra_loss_cluster: 2.75
2024-12-13 13:53:31,184 - INFO - Epoch:[64/350] Step:[60/75] reconstruction_loss: 0.69 contra_loss: 2.84 contra_loss_cluster: 2.81
2024-12-13 13:53:32,495 - INFO - Epoch:[64/350] Step:[70/75] reconstruction_loss: 0.67 contra_loss: 2.89 contra_loss_cluster: 2.77
2024-12-13 13:53:33,691 - INFO - now the learning rate is: 0.00046067367977822843
2024-12-13 13:53:34,040 - INFO - begin training stage: [65/350]
2024-12-13 13:53:38,966 - INFO - Epoch:[65/350] Step:[10/75] reconstruction_loss: 0.65 contra_loss: 2.86 contra_loss_cluster: 2.75
2024-12-13 13:53:40,295 - INFO - Epoch:[65/350] Step:[20/75] reconstruction_loss: 0.69 contra_loss: 2.89 contra_loss_cluster: 2.77
2024-12-13 13:53:41,629 - INFO - Epoch:[65/350] Step:[30/75] reconstruction_loss: 0.66 contra_loss: 2.90 contra_loss_cluster: 2.72
2024-12-13 13:53:42,967 - INFO - Epoch:[65/350] Step:[40/75] reconstruction_loss: 0.64 contra_loss: 2.86 contra_loss_cluster: 2.68
2024-12-13 13:53:44,323 - INFO - Epoch:[65/350] Step:[50/75] reconstruction_loss: 0.67 contra_loss: 2.87 contra_loss_cluster: 2.82
2024-12-13 13:53:45,648 - INFO - Epoch:[65/350] Step:[60/75] reconstruction_loss: 0.68 contra_loss: 2.85 contra_loss_cluster: 2.80
2024-12-13 13:53:46,967 - INFO - Epoch:[65/350] Step:[70/75] reconstruction_loss: 0.68 contra_loss: 2.88 contra_loss_cluster: 2.71
2024-12-13 13:53:48,251 - INFO - now the learning rate is: 0.00045947044716171864
2024-12-13 13:53:48,564 - INFO - begin training stage: [66/350]
2024-12-13 13:53:53,437 - INFO - Epoch:[66/350] Step:[10/75] reconstruction_loss: 0.66 contra_loss: 2.91 contra_loss_cluster: 2.73
2024-12-13 13:53:54,788 - INFO - Epoch:[66/350] Step:[20/75] reconstruction_loss: 0.68 contra_loss: 2.88 contra_loss_cluster: 2.81
2024-12-13 13:53:56,132 - INFO - Epoch:[66/350] Step:[30/75] reconstruction_loss: 0.69 contra_loss: 2.84 contra_loss_cluster: 2.76
2024-12-13 13:53:57,489 - INFO - Epoch:[66/350] Step:[40/75] reconstruction_loss: 0.68 contra_loss: 2.84 contra_loss_cluster: 2.81
2024-12-13 13:53:58,843 - INFO - Epoch:[66/350] Step:[50/75] reconstruction_loss: 0.69 contra_loss: 2.85 contra_loss_cluster: 2.78
2024-12-13 13:54:00,164 - INFO - Epoch:[66/350] Step:[60/75] reconstruction_loss: 0.65 contra_loss: 2.86 contra_loss_cluster: 2.82
2024-12-13 13:54:01,473 - INFO - Epoch:[66/350] Step:[70/75] reconstruction_loss: 0.68 contra_loss: 2.87 contra_loss_cluster: 2.77
2024-12-13 13:54:02,736 - INFO - now the learning rate is: 0.0004582507408400982
2024-12-13 13:54:03,093 - INFO - begin training stage: [67/350]
2024-12-13 13:54:07,845 - INFO - Epoch:[67/350] Step:[10/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 2.73
2024-12-13 13:54:09,171 - INFO - Epoch:[67/350] Step:[20/75] reconstruction_loss: 0.66 contra_loss: 2.86 contra_loss_cluster: 2.69
2024-12-13 13:54:10,496 - INFO - Epoch:[67/350] Step:[30/75] reconstruction_loss: 0.68 contra_loss: 2.84 contra_loss_cluster: 2.72
2024-12-13 13:54:11,822 - INFO - Epoch:[67/350] Step:[40/75] reconstruction_loss: 0.69 contra_loss: 2.89 contra_loss_cluster: 2.72
2024-12-13 13:54:13,150 - INFO - Epoch:[67/350] Step:[50/75] reconstruction_loss: 0.68 contra_loss: 2.88 contra_loss_cluster: 2.78
2024-12-13 13:54:14,471 - INFO - Epoch:[67/350] Step:[60/75] reconstruction_loss: 0.68 contra_loss: 2.89 contra_loss_cluster: 2.71
2024-12-13 13:54:15,787 - INFO - Epoch:[67/350] Step:[70/75] reconstruction_loss: 0.68 contra_loss: 2.83 contra_loss_cluster: 2.69
2024-12-13 13:54:17,120 - INFO - now the learning rate is: 0.00045701465908224906
2024-12-13 13:54:17,441 - INFO - begin training stage: [68/350]
2024-12-13 13:54:21,883 - INFO - Epoch:[68/350] Step:[10/75] reconstruction_loss: 0.65 contra_loss: 2.87 contra_loss_cluster: 2.69
2024-12-13 13:54:23,245 - INFO - Epoch:[68/350] Step:[20/75] reconstruction_loss: 0.64 contra_loss: 2.86 contra_loss_cluster: 2.71
2024-12-13 13:54:24,580 - INFO - Epoch:[68/350] Step:[30/75] reconstruction_loss: 0.64 contra_loss: 2.87 contra_loss_cluster: 2.65
2024-12-13 13:54:25,905 - INFO - Epoch:[68/350] Step:[40/75] reconstruction_loss: 0.65 contra_loss: 2.85 contra_loss_cluster: 2.75
2024-12-13 13:54:27,232 - INFO - Epoch:[68/350] Step:[50/75] reconstruction_loss: 0.68 contra_loss: 2.85 contra_loss_cluster: 2.65
2024-12-13 13:54:28,548 - INFO - Epoch:[68/350] Step:[60/75] reconstruction_loss: 0.66 contra_loss: 2.85 contra_loss_cluster: 2.69
2024-12-13 13:54:29,859 - INFO - Epoch:[68/350] Step:[70/75] reconstruction_loss: 0.67 contra_loss: 2.89 contra_loss_cluster: 2.67
2024-12-13 13:54:31,050 - INFO - now the learning rate is: 0.0004557623014763839
2024-12-13 13:54:31,361 - INFO - begin training stage: [69/350]
2024-12-13 13:54:36,290 - INFO - Epoch:[69/350] Step:[10/75] reconstruction_loss: 0.69 contra_loss: 2.90 contra_loss_cluster: 2.68
2024-12-13 13:54:37,649 - INFO - Epoch:[69/350] Step:[20/75] reconstruction_loss: 0.65 contra_loss: 2.84 contra_loss_cluster: 2.72
2024-12-13 13:54:39,006 - INFO - Epoch:[69/350] Step:[30/75] reconstruction_loss: 0.66 contra_loss: 2.84 contra_loss_cluster: 2.68
2024-12-13 13:54:40,370 - INFO - Epoch:[69/350] Step:[40/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 2.65
2024-12-13 13:54:41,740 - INFO - Epoch:[69/350] Step:[50/75] reconstruction_loss: 0.69 contra_loss: 2.84 contra_loss_cluster: 2.69
2024-12-13 13:54:43,055 - INFO - Epoch:[69/350] Step:[60/75] reconstruction_loss: 0.66 contra_loss: 2.86 contra_loss_cluster: 2.64
2024-12-13 13:54:44,373 - INFO - Epoch:[69/350] Step:[70/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 2.64
2024-12-13 13:54:45,663 - INFO - now the learning rate is: 0.00045449376892202234
2024-12-13 13:54:45,983 - INFO - begin training stage: [70/350]
2024-12-13 13:54:50,945 - INFO - Epoch:[70/350] Step:[10/75] reconstruction_loss: 0.65 contra_loss: 2.85 contra_loss_cluster: 2.56
2024-12-13 13:54:52,360 - INFO - Epoch:[70/350] Step:[20/75] reconstruction_loss: 0.66 contra_loss: 2.88 contra_loss_cluster: 2.62
2024-12-13 13:54:53,748 - INFO - Epoch:[70/350] Step:[30/75] reconstruction_loss: 0.66 contra_loss: 2.89 contra_loss_cluster: 2.63
2024-12-13 13:54:55,109 - INFO - Epoch:[70/350] Step:[40/75] reconstruction_loss: 0.67 contra_loss: 2.86 contra_loss_cluster: 2.63
2024-12-13 13:54:56,479 - INFO - Epoch:[70/350] Step:[50/75] reconstruction_loss: 0.67 contra_loss: 2.86 contra_loss_cluster: 2.70
2024-12-13 13:54:57,849 - INFO - Epoch:[70/350] Step:[60/75] reconstruction_loss: 0.63 contra_loss: 2.85 contra_loss_cluster: 2.68
2024-12-13 13:54:59,196 - INFO - Epoch:[70/350] Step:[70/75] reconstruction_loss: 0.66 contra_loss: 2.86 contra_loss_cluster: 2.63
2024-12-13 13:55:00,503 - INFO - now the learning rate is: 0.00045320916362186176
2024-12-13 13:55:00,836 - INFO - begin training stage: [71/350]
2024-12-13 13:55:05,774 - INFO - Epoch:[71/350] Step:[10/75] reconstruction_loss: 0.68 contra_loss: 2.84 contra_loss_cluster: 2.67
2024-12-13 13:55:07,137 - INFO - Epoch:[71/350] Step:[20/75] reconstruction_loss: 0.66 contra_loss: 2.87 contra_loss_cluster: 2.58
2024-12-13 13:55:08,520 - INFO - Epoch:[71/350] Step:[30/75] reconstruction_loss: 0.67 contra_loss: 2.87 contra_loss_cluster: 2.67
2024-12-13 13:55:09,935 - INFO - Epoch:[71/350] Step:[40/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 2.70
2024-12-13 13:55:11,318 - INFO - Epoch:[71/350] Step:[50/75] reconstruction_loss: 0.61 contra_loss: 2.89 contra_loss_cluster: 2.55
2024-12-13 13:55:12,683 - INFO - Epoch:[71/350] Step:[60/75] reconstruction_loss: 0.64 contra_loss: 2.87 contra_loss_cluster: 2.65
2024-12-13 13:55:14,024 - INFO - Epoch:[71/350] Step:[70/75] reconstruction_loss: 0.68 contra_loss: 2.86 contra_loss_cluster: 2.55
2024-12-13 13:55:15,281 - INFO - now the learning rate is: 0.0004519085890735428
2024-12-13 13:55:15,611 - INFO - begin training stage: [72/350]
2024-12-13 13:55:20,680 - INFO - Epoch:[72/350] Step:[10/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 2.64
2024-12-13 13:55:22,026 - INFO - Epoch:[72/350] Step:[20/75] reconstruction_loss: 0.65 contra_loss: 2.84 contra_loss_cluster: 2.51
2024-12-13 13:55:23,363 - INFO - Epoch:[72/350] Step:[30/75] reconstruction_loss: 0.65 contra_loss: 2.87 contra_loss_cluster: 2.63
2024-12-13 13:55:24,752 - INFO - Epoch:[72/350] Step:[40/75] reconstruction_loss: 0.66 contra_loss: 2.87 contra_loss_cluster: 2.62
2024-12-13 13:55:26,154 - INFO - Epoch:[72/350] Step:[50/75] reconstruction_loss: 0.66 contra_loss: 2.89 contra_loss_cluster: 2.61
2024-12-13 13:55:27,519 - INFO - Epoch:[72/350] Step:[60/75] reconstruction_loss: 0.67 contra_loss: 2.87 contra_loss_cluster: 2.66
2024-12-13 13:55:28,856 - INFO - Epoch:[72/350] Step:[70/75] reconstruction_loss: 0.69 contra_loss: 2.87 contra_loss_cluster: 2.52
2024-12-13 13:55:30,204 - INFO - now the learning rate is: 0.00045059215006131145
2024-12-13 13:55:30,539 - INFO - begin training stage: [73/350]
2024-12-13 13:55:35,360 - INFO - Epoch:[73/350] Step:[10/75] reconstruction_loss: 0.70 contra_loss: 2.86 contra_loss_cluster: 2.49
2024-12-13 13:55:36,749 - INFO - Epoch:[73/350] Step:[20/75] reconstruction_loss: 0.64 contra_loss: 2.83 contra_loss_cluster: 2.56
2024-12-13 13:55:38,154 - INFO - Epoch:[73/350] Step:[30/75] reconstruction_loss: 0.65 contra_loss: 2.84 contra_loss_cluster: 2.58
2024-12-13 13:55:39,500 - INFO - Epoch:[73/350] Step:[40/75] reconstruction_loss: 0.69 contra_loss: 2.86 contra_loss_cluster: 2.55
2024-12-13 13:55:40,834 - INFO - Epoch:[73/350] Step:[50/75] reconstruction_loss: 0.67 contra_loss: 2.87 contra_loss_cluster: 2.61
2024-12-13 13:55:42,173 - INFO - Epoch:[73/350] Step:[60/75] reconstruction_loss: 0.63 contra_loss: 2.88 contra_loss_cluster: 2.52
2024-12-13 13:55:43,500 - INFO - Epoch:[73/350] Step:[70/75] reconstruction_loss: 0.67 contra_loss: 2.86 contra_loss_cluster: 2.62
2024-12-13 13:55:44,690 - INFO - now the learning rate is: 0.00044925995264757603
2024-12-13 13:55:45,012 - INFO - begin training stage: [74/350]
2024-12-13 13:55:49,616 - INFO - Epoch:[74/350] Step:[10/75] reconstruction_loss: 0.64 contra_loss: 2.86 contra_loss_cluster: 2.51
2024-12-13 13:55:50,963 - INFO - Epoch:[74/350] Step:[20/75] reconstruction_loss: 0.66 contra_loss: 2.87 contra_loss_cluster: 2.54
2024-12-13 13:55:52,312 - INFO - Epoch:[74/350] Step:[30/75] reconstruction_loss: 0.67 contra_loss: 2.88 contra_loss_cluster: 2.57
2024-12-13 13:55:53,667 - INFO - Epoch:[74/350] Step:[40/75] reconstruction_loss: 0.65 contra_loss: 2.84 contra_loss_cluster: 2.50
2024-12-13 13:55:55,004 - INFO - Epoch:[74/350] Step:[50/75] reconstruction_loss: 0.65 contra_loss: 2.85 contra_loss_cluster: 2.51
2024-12-13 13:55:56,323 - INFO - Epoch:[74/350] Step:[60/75] reconstruction_loss: 0.66 contra_loss: 2.84 contra_loss_cluster: 2.58
2024-12-13 13:55:57,638 - INFO - Epoch:[74/350] Step:[70/75] reconstruction_loss: 0.66 contra_loss: 2.86 contra_loss_cluster: 2.55
2024-12-13 13:55:58,841 - INFO - now the learning rate is: 0.00044791210416436254
2024-12-13 13:55:59,179 - INFO - begin training stage: [75/350]
2024-12-13 13:56:04,115 - INFO - Epoch:[75/350] Step:[10/75] reconstruction_loss: 0.67 contra_loss: 2.88 contra_loss_cluster: 2.59
2024-12-13 13:56:05,444 - INFO - Epoch:[75/350] Step:[20/75] reconstruction_loss: 0.67 contra_loss: 2.87 contra_loss_cluster: 2.54
2024-12-13 13:56:06,773 - INFO - Epoch:[75/350] Step:[30/75] reconstruction_loss: 0.68 contra_loss: 2.85 contra_loss_cluster: 2.55
2024-12-13 13:56:08,102 - INFO - Epoch:[75/350] Step:[40/75] reconstruction_loss: 0.67 contra_loss: 2.88 contra_loss_cluster: 2.54
2024-12-13 13:56:09,431 - INFO - Epoch:[75/350] Step:[50/75] reconstruction_loss: 0.66 contra_loss: 2.85 contra_loss_cluster: 2.50
2024-12-13 13:56:10,746 - INFO - Epoch:[75/350] Step:[60/75] reconstruction_loss: 0.65 contra_loss: 2.87 contra_loss_cluster: 2.45
2024-12-13 13:56:12,059 - INFO - Epoch:[75/350] Step:[70/75] reconstruction_loss: 0.67 contra_loss: 2.84 contra_loss_cluster: 2.56
2024-12-13 13:56:13,401 - INFO - now the learning rate is: 0.0004465487132046669
2024-12-13 13:56:13,723 - INFO - begin training stage: [76/350]
2024-12-13 13:56:18,525 - INFO - Epoch:[76/350] Step:[10/75] reconstruction_loss: 0.65 contra_loss: 2.86 contra_loss_cluster: 2.54
2024-12-13 13:56:19,858 - INFO - Epoch:[76/350] Step:[20/75] reconstruction_loss: 0.66 contra_loss: 2.87 contra_loss_cluster: 2.58
2024-12-13 13:56:21,186 - INFO - Epoch:[76/350] Step:[30/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 2.49
2024-12-13 13:56:22,536 - INFO - Epoch:[76/350] Step:[40/75] reconstruction_loss: 0.63 contra_loss: 2.85 contra_loss_cluster: 2.46
2024-12-13 13:56:23,877 - INFO - Epoch:[76/350] Step:[50/75] reconstruction_loss: 0.65 contra_loss: 2.85 contra_loss_cluster: 2.47
2024-12-13 13:56:25,185 - INFO - Epoch:[76/350] Step:[60/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 2.41
2024-12-13 13:56:26,491 - INFO - Epoch:[76/350] Step:[70/75] reconstruction_loss: 0.65 contra_loss: 2.86 contra_loss_cluster: 2.41
2024-12-13 13:56:27,789 - INFO - now the learning rate is: 0.0004451698896137061
2024-12-13 13:56:28,104 - INFO - begin training stage: [77/350]
2024-12-13 13:56:33,004 - INFO - Epoch:[77/350] Step:[10/75] reconstruction_loss: 0.66 contra_loss: 2.86 contra_loss_cluster: 2.48
2024-12-13 13:56:34,352 - INFO - Epoch:[77/350] Step:[20/75] reconstruction_loss: 0.65 contra_loss: 2.81 contra_loss_cluster: 2.48
2024-12-13 13:56:35,702 - INFO - Epoch:[77/350] Step:[30/75] reconstruction_loss: 0.62 contra_loss: 2.85 contra_loss_cluster: 2.46
2024-12-13 13:56:37,064 - INFO - Epoch:[77/350] Step:[40/75] reconstruction_loss: 0.67 contra_loss: 2.86 contra_loss_cluster: 2.56
2024-12-13 13:56:38,427 - INFO - Epoch:[77/350] Step:[50/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 2.51
2024-12-13 13:56:39,740 - INFO - Epoch:[77/350] Step:[60/75] reconstruction_loss: 0.67 contra_loss: 2.88 contra_loss_cluster: 2.52
2024-12-13 13:56:41,048 - INFO - Epoch:[77/350] Step:[70/75] reconstruction_loss: 0.66 contra_loss: 2.86 contra_loss_cluster: 2.46
2024-12-13 13:56:42,263 - INFO - now the learning rate is: 0.00044377574448006797
2024-12-13 13:56:42,587 - INFO - begin training stage: [78/350]
2024-12-13 13:56:47,448 - INFO - Epoch:[78/350] Step:[10/75] reconstruction_loss: 0.65 contra_loss: 2.86 contra_loss_cluster: 2.51
2024-12-13 13:56:48,794 - INFO - Epoch:[78/350] Step:[20/75] reconstruction_loss: 0.64 contra_loss: 2.87 contra_loss_cluster: 2.40
2024-12-13 13:56:50,142 - INFO - Epoch:[78/350] Step:[30/75] reconstruction_loss: 0.66 contra_loss: 2.82 contra_loss_cluster: 2.47
2024-12-13 13:56:51,496 - INFO - Epoch:[78/350] Step:[40/75] reconstruction_loss: 0.66 contra_loss: 2.85 contra_loss_cluster: 2.41
2024-12-13 13:56:52,849 - INFO - Epoch:[78/350] Step:[50/75] reconstruction_loss: 0.65 contra_loss: 2.85 contra_loss_cluster: 2.50
2024-12-13 13:56:54,168 - INFO - Epoch:[78/350] Step:[60/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 2.44
2024-12-13 13:56:55,481 - INFO - Epoch:[78/350] Step:[70/75] reconstruction_loss: 0.65 contra_loss: 2.84 contra_loss_cluster: 2.42
2024-12-13 13:56:56,696 - INFO - now the learning rate is: 0.0004423663901267612
2024-12-13 13:56:57,020 - INFO - begin training stage: [79/350]
2024-12-13 13:57:02,025 - INFO - Epoch:[79/350] Step:[10/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 2.40
2024-12-13 13:57:03,380 - INFO - Epoch:[79/350] Step:[20/75] reconstruction_loss: 0.64 contra_loss: 2.88 contra_loss_cluster: 2.33
2024-12-13 13:57:04,718 - INFO - Epoch:[79/350] Step:[30/75] reconstruction_loss: 0.66 contra_loss: 2.86 contra_loss_cluster: 2.43
2024-12-13 13:57:06,073 - INFO - Epoch:[79/350] Step:[40/75] reconstruction_loss: 0.68 contra_loss: 2.84 contra_loss_cluster: 2.44
2024-12-13 13:57:07,428 - INFO - Epoch:[79/350] Step:[50/75] reconstruction_loss: 0.68 contra_loss: 2.87 contra_loss_cluster: 2.44
2024-12-13 13:57:08,753 - INFO - Epoch:[79/350] Step:[60/75] reconstruction_loss: 0.64 contra_loss: 2.87 contra_loss_cluster: 2.40
2024-12-13 13:57:10,068 - INFO - Epoch:[79/350] Step:[70/75] reconstruction_loss: 0.66 contra_loss: 2.83 contra_loss_cluster: 2.40
2024-12-13 13:57:11,420 - INFO - now the learning rate is: 0.0004409419401021657
2024-12-13 13:57:11,734 - INFO - begin training stage: [80/350]
2024-12-13 13:57:16,598 - INFO - Epoch:[80/350] Step:[10/75] reconstruction_loss: 0.65 contra_loss: 2.85 contra_loss_cluster: 2.38
2024-12-13 13:57:17,945 - INFO - Epoch:[80/350] Step:[20/75] reconstruction_loss: 0.63 contra_loss: 2.85 contra_loss_cluster: 2.44
2024-12-13 13:57:19,281 - INFO - Epoch:[80/350] Step:[30/75] reconstruction_loss: 0.65 contra_loss: 2.84 contra_loss_cluster: 2.36
2024-12-13 13:57:20,613 - INFO - Epoch:[80/350] Step:[40/75] reconstruction_loss: 0.66 contra_loss: 2.85 contra_loss_cluster: 2.40
2024-12-13 13:57:21,952 - INFO - Epoch:[80/350] Step:[50/75] reconstruction_loss: 0.65 contra_loss: 2.86 contra_loss_cluster: 2.40
2024-12-13 13:57:23,283 - INFO - Epoch:[80/350] Step:[60/75] reconstruction_loss: 0.64 contra_loss: 2.87 contra_loss_cluster: 2.33
2024-12-13 13:57:24,617 - INFO - Epoch:[80/350] Step:[70/75] reconstruction_loss: 0.64 contra_loss: 2.86 contra_loss_cluster: 2.44
2024-12-13 13:57:25,836 - INFO - now the learning rate is: 0.0004395025091708843
2024-12-13 13:57:26,160 - INFO - eval data number: 9537
2024-12-13 13:57:33,563 - INFO - loading query data ......
2024-12-13 13:57:39,090 - INFO - retrieval costs: 12.928782939910889
2024-12-13 13:57:39,836 - INFO - hamming distance computation costs: 0.7453880310058594
2024-12-13 13:57:40,945 - INFO - hamming ranking costs: 1.1093051433563232
2024-12-13 13:57:40,945 - INFO - labels shape: (3783, 101) and (9537, 101)
2024-12-13 13:57:43,888 - INFO - similarity labels generation costs: 2.94319748878479
2024-12-13 13:57:43,968 - INFO - topK: 5:, map: 0.4494043528064147
2024-12-13 13:57:44,264 - INFO - topK: 20:, map: 0.38493187191472156
2024-12-13 13:57:44,844 - INFO - topK: 40:, map: 0.33599300572586405
2024-12-13 13:57:45,754 - INFO - topK: 60:, map: 0.30061140914119394
2024-12-13 13:57:46,852 - INFO - topK: 80:, map: 0.26821559310005233
2024-12-13 13:57:48,263 - INFO - topK: 100:, map: 0.23859979981943913
2024-12-13 13:57:48,408 - INFO - begin training stage: [81/350]
2024-12-13 13:57:54,364 - INFO - Epoch:[81/350] Step:[10/75] reconstruction_loss: 0.66 contra_loss: 2.85 contra_loss_cluster: 2.45
2024-12-13 13:57:56,960 - INFO - Epoch:[81/350] Step:[20/75] reconstruction_loss: 0.66 contra_loss: 2.84 contra_loss_cluster: 2.37
2024-12-13 13:57:59,583 - INFO - Epoch:[81/350] Step:[30/75] reconstruction_loss: 0.65 contra_loss: 2.91 contra_loss_cluster: 2.34
2024-12-13 13:58:01,007 - INFO - Epoch:[81/350] Step:[40/75] reconstruction_loss: 0.66 contra_loss: 2.84 contra_loss_cluster: 2.44
2024-12-13 13:58:02,351 - INFO - Epoch:[81/350] Step:[50/75] reconstruction_loss: 0.65 contra_loss: 2.87 contra_loss_cluster: 2.46
2024-12-13 13:58:03,765 - INFO - Epoch:[81/350] Step:[60/75] reconstruction_loss: 0.65 contra_loss: 2.84 contra_loss_cluster: 2.37
2024-12-13 13:58:06,333 - INFO - Epoch:[81/350] Step:[70/75] reconstruction_loss: 0.65 contra_loss: 2.83 contra_loss_cluster: 2.40
2024-12-13 13:58:08,317 - INFO - now the learning rate is: 0.00043804821330449626
2024-12-13 13:58:08,657 - INFO - begin training stage: [82/350]
2024-12-13 13:58:14,703 - INFO - Epoch:[82/350] Step:[10/75] reconstruction_loss: 0.66 contra_loss: 2.85 contra_loss_cluster: 2.41
2024-12-13 13:58:16,776 - INFO - Epoch:[82/350] Step:[20/75] reconstruction_loss: 0.66 contra_loss: 2.86 contra_loss_cluster: 2.38
2024-12-13 13:58:18,172 - INFO - Epoch:[82/350] Step:[30/75] reconstruction_loss: 0.63 contra_loss: 2.83 contra_loss_cluster: 2.38
2024-12-13 13:58:19,553 - INFO - Epoch:[82/350] Step:[40/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 2.36
2024-12-13 13:58:21,273 - INFO - Epoch:[82/350] Step:[50/75] reconstruction_loss: 0.66 contra_loss: 2.84 contra_loss_cluster: 2.43
2024-12-13 13:58:23,889 - INFO - Epoch:[82/350] Step:[60/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 2.37
2024-12-13 13:58:26,465 - INFO - Epoch:[82/350] Step:[70/75] reconstruction_loss: 0.62 contra_loss: 2.87 contra_loss_cluster: 2.32
2024-12-13 13:58:28,438 - INFO - now the learning rate is: 0.00043657916967221403
2024-12-13 13:58:28,764 - INFO - begin training stage: [83/350]
2024-12-13 13:58:33,979 - INFO - Epoch:[83/350] Step:[10/75] reconstruction_loss: 0.65 contra_loss: 2.85 contra_loss_cluster: 2.38
2024-12-13 13:58:35,333 - INFO - Epoch:[83/350] Step:[20/75] reconstruction_loss: 0.66 contra_loss: 2.82 contra_loss_cluster: 2.39
2024-12-13 13:58:36,695 - INFO - Epoch:[83/350] Step:[30/75] reconstruction_loss: 0.64 contra_loss: 2.87 contra_loss_cluster: 2.33
2024-12-13 13:58:38,979 - INFO - Epoch:[83/350] Step:[40/75] reconstruction_loss: 0.61 contra_loss: 2.87 contra_loss_cluster: 2.21
2024-12-13 13:58:41,580 - INFO - Epoch:[83/350] Step:[50/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 2.31
2024-12-13 13:58:44,152 - INFO - Epoch:[83/350] Step:[60/75] reconstruction_loss: 0.66 contra_loss: 2.84 contra_loss_cluster: 2.32
2024-12-13 13:58:46,662 - INFO - Epoch:[83/350] Step:[70/75] reconstruction_loss: 0.66 contra_loss: 2.84 contra_loss_cluster: 2.32
2024-12-13 13:58:48,642 - INFO - now the learning rate is: 0.0004350954966314429
2024-12-13 13:58:48,967 - INFO - begin training stage: [84/350]
2024-12-13 13:58:53,893 - INFO - Epoch:[84/350] Step:[10/75] reconstruction_loss: 0.64 contra_loss: 2.86 contra_loss_cluster: 2.26
2024-12-13 13:58:55,344 - INFO - Epoch:[84/350] Step:[20/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 2.33
2024-12-13 13:58:57,921 - INFO - Epoch:[84/350] Step:[30/75] reconstruction_loss: 0.68 contra_loss: 2.86 contra_loss_cluster: 2.45
2024-12-13 13:59:00,494 - INFO - Epoch:[84/350] Step:[40/75] reconstruction_loss: 0.64 contra_loss: 2.86 contra_loss_cluster: 2.26
2024-12-13 13:59:03,055 - INFO - Epoch:[84/350] Step:[50/75] reconstruction_loss: 0.65 contra_loss: 2.83 contra_loss_cluster: 2.27
2024-12-13 13:59:05,548 - INFO - Epoch:[84/350] Step:[60/75] reconstruction_loss: 0.64 contra_loss: 2.87 contra_loss_cluster: 2.38
2024-12-13 13:59:08,095 - INFO - Epoch:[84/350] Step:[70/75] reconstruction_loss: 0.65 contra_loss: 2.85 contra_loss_cluster: 2.38
2024-12-13 13:59:10,090 - INFO - now the learning rate is: 0.0004335973137182454
2024-12-13 13:59:10,455 - INFO - begin training stage: [85/350]
2024-12-13 13:59:15,503 - INFO - Epoch:[85/350] Step:[10/75] reconstruction_loss: 0.65 contra_loss: 2.84 contra_loss_cluster: 2.37
2024-12-13 13:59:18,117 - INFO - Epoch:[85/350] Step:[20/75] reconstruction_loss: 0.64 contra_loss: 2.86 contra_loss_cluster: 2.36
2024-12-13 13:59:20,712 - INFO - Epoch:[85/350] Step:[30/75] reconstruction_loss: 0.64 contra_loss: 2.83 contra_loss_cluster: 2.23
2024-12-13 13:59:23,300 - INFO - Epoch:[85/350] Step:[40/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 2.28
2024-12-13 13:59:25,896 - INFO - Epoch:[85/350] Step:[50/75] reconstruction_loss: 0.65 contra_loss: 2.88 contra_loss_cluster: 2.27
2024-12-13 13:59:28,471 - INFO - Epoch:[85/350] Step:[60/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 2.27
2024-12-13 13:59:31,041 - INFO - Epoch:[85/350] Step:[70/75] reconstruction_loss: 0.67 contra_loss: 2.85 contra_loss_cluster: 2.28
2024-12-13 13:59:32,777 - INFO - now the learning rate is: 0.0004320847416377105
2024-12-13 13:59:33,124 - INFO - begin training stage: [86/350]
2024-12-13 13:59:39,238 - INFO - Epoch:[86/350] Step:[10/75] reconstruction_loss: 0.63 contra_loss: 2.88 contra_loss_cluster: 2.37
2024-12-13 13:59:41,817 - INFO - Epoch:[86/350] Step:[20/75] reconstruction_loss: 0.64 contra_loss: 2.83 contra_loss_cluster: 2.36
2024-12-13 13:59:44,409 - INFO - Epoch:[86/350] Step:[30/75] reconstruction_loss: 0.66 contra_loss: 2.85 contra_loss_cluster: 2.30
2024-12-13 13:59:47,002 - INFO - Epoch:[86/350] Step:[40/75] reconstruction_loss: 0.62 contra_loss: 2.84 contra_loss_cluster: 2.21
2024-12-13 13:59:49,574 - INFO - Epoch:[86/350] Step:[50/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 2.29
2024-12-13 13:59:52,078 - INFO - Epoch:[86/350] Step:[60/75] reconstruction_loss: 0.65 contra_loss: 2.84 contra_loss_cluster: 2.34
2024-12-13 13:59:53,415 - INFO - Epoch:[86/350] Step:[70/75] reconstruction_loss: 0.65 contra_loss: 2.86 contra_loss_cluster: 2.28
2024-12-13 13:59:54,771 - INFO - now the learning rate is: 0.0004305579022542287
2024-12-13 13:59:55,101 - INFO - begin training stage: [87/350]
2024-12-13 14:00:01,167 - INFO - Epoch:[87/350] Step:[10/75] reconstruction_loss: 0.62 contra_loss: 2.84 contra_loss_cluster: 2.26
2024-12-13 14:00:03,783 - INFO - Epoch:[87/350] Step:[20/75] reconstruction_loss: 0.65 contra_loss: 2.85 contra_loss_cluster: 2.17
2024-12-13 14:00:06,394 - INFO - Epoch:[87/350] Step:[30/75] reconstruction_loss: 0.64 contra_loss: 2.86 contra_loss_cluster: 2.35
2024-12-13 14:00:09,001 - INFO - Epoch:[87/350] Step:[40/75] reconstruction_loss: 0.67 contra_loss: 2.86 contra_loss_cluster: 2.19
2024-12-13 14:00:11,101 - INFO - Epoch:[87/350] Step:[50/75] reconstruction_loss: 0.67 contra_loss: 2.86 contra_loss_cluster: 2.15
2024-12-13 14:00:12,459 - INFO - Epoch:[87/350] Step:[60/75] reconstruction_loss: 0.62 contra_loss: 2.83 contra_loss_cluster: 2.22
2024-12-13 14:00:13,802 - INFO - Epoch:[87/350] Step:[70/75] reconstruction_loss: 0.65 contra_loss: 2.86 contra_loss_cluster: 2.23
2024-12-13 14:00:15,179 - INFO - now the learning rate is: 0.00042901691858167356
2024-12-13 14:00:15,541 - INFO - begin training stage: [88/350]
2024-12-13 14:00:21,810 - INFO - Epoch:[88/350] Step:[10/75] reconstruction_loss: 0.63 contra_loss: 2.85 contra_loss_cluster: 2.28
2024-12-13 14:00:24,404 - INFO - Epoch:[88/350] Step:[20/75] reconstruction_loss: 0.64 contra_loss: 2.86 contra_loss_cluster: 2.25
2024-12-13 14:00:27,009 - INFO - Epoch:[88/350] Step:[30/75] reconstruction_loss: 0.63 contra_loss: 2.85 contra_loss_cluster: 2.25
2024-12-13 14:00:28,595 - INFO - Epoch:[88/350] Step:[40/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 2.25
2024-12-13 14:00:29,979 - INFO - Epoch:[88/350] Step:[50/75] reconstruction_loss: 0.63 contra_loss: 2.82 contra_loss_cluster: 2.20
2024-12-13 14:00:31,328 - INFO - Epoch:[88/350] Step:[60/75] reconstruction_loss: 0.63 contra_loss: 2.86 contra_loss_cluster: 2.18
2024-12-13 14:00:33,533 - INFO - Epoch:[88/350] Step:[70/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 2.19
2024-12-13 14:00:35,544 - INFO - now the learning rate is: 0.00042746191477349113
2024-12-13 14:00:35,883 - INFO - begin training stage: [89/350]
2024-12-13 14:00:42,001 - INFO - Epoch:[89/350] Step:[10/75] reconstruction_loss: 0.62 contra_loss: 2.83 contra_loss_cluster: 2.27
2024-12-13 14:00:44,351 - INFO - Epoch:[89/350] Step:[20/75] reconstruction_loss: 0.63 contra_loss: 2.86 contra_loss_cluster: 2.30
2024-12-13 14:00:45,734 - INFO - Epoch:[89/350] Step:[30/75] reconstruction_loss: 0.65 contra_loss: 2.83 contra_loss_cluster: 2.30
2024-12-13 14:00:47,086 - INFO - Epoch:[89/350] Step:[40/75] reconstruction_loss: 0.60 contra_loss: 2.88 contra_loss_cluster: 2.25
2024-12-13 14:00:48,579 - INFO - Epoch:[89/350] Step:[50/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 2.19
2024-12-13 14:00:51,159 - INFO - Epoch:[89/350] Step:[60/75] reconstruction_loss: 0.66 contra_loss: 2.82 contra_loss_cluster: 2.14
2024-12-13 14:00:53,721 - INFO - Epoch:[89/350] Step:[70/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 2.19
2024-12-13 14:00:55,691 - INFO - now the learning rate is: 0.0004258930161126967
2024-12-13 14:00:56,032 - INFO - begin training stage: [90/350]
2024-12-13 14:01:01,430 - INFO - Epoch:[90/350] Step:[10/75] reconstruction_loss: 0.67 contra_loss: 2.84 contra_loss_cluster: 2.21
2024-12-13 14:01:02,817 - INFO - Epoch:[90/350] Step:[20/75] reconstruction_loss: 0.62 contra_loss: 2.84 contra_loss_cluster: 2.15
2024-12-13 14:01:04,184 - INFO - Epoch:[90/350] Step:[30/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 2.17
2024-12-13 14:01:06,172 - INFO - Epoch:[90/350] Step:[40/75] reconstruction_loss: 0.66 contra_loss: 2.82 contra_loss_cluster: 2.20
2024-12-13 14:01:08,774 - INFO - Epoch:[90/350] Step:[50/75] reconstruction_loss: 0.61 contra_loss: 2.83 contra_loss_cluster: 2.16
2024-12-13 14:01:11,375 - INFO - Epoch:[90/350] Step:[60/75] reconstruction_loss: 0.67 contra_loss: 2.88 contra_loss_cluster: 2.20
2024-12-13 14:01:13,962 - INFO - Epoch:[90/350] Step:[70/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 2.26
2024-12-13 14:01:15,940 - INFO - now the learning rate is: 0.0004243103490017815
2024-12-13 14:01:16,269 - INFO - begin training stage: [91/350]
2024-12-13 14:01:21,222 - INFO - Epoch:[91/350] Step:[10/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 2.23
2024-12-13 14:01:22,592 - INFO - Epoch:[91/350] Step:[20/75] reconstruction_loss: 0.68 contra_loss: 2.85 contra_loss_cluster: 2.27
2024-12-13 14:01:24,918 - INFO - Epoch:[91/350] Step:[30/75] reconstruction_loss: 0.65 contra_loss: 2.87 contra_loss_cluster: 2.16
2024-12-13 14:01:27,540 - INFO - Epoch:[91/350] Step:[40/75] reconstruction_loss: 0.63 contra_loss: 2.86 contra_loss_cluster: 2.30
2024-12-13 14:01:30,148 - INFO - Epoch:[91/350] Step:[50/75] reconstruction_loss: 0.66 contra_loss: 2.84 contra_loss_cluster: 2.22
2024-12-13 14:01:32,736 - INFO - Epoch:[91/350] Step:[60/75] reconstruction_loss: 0.60 contra_loss: 2.85 contra_loss_cluster: 2.22
2024-12-13 14:01:35,272 - INFO - Epoch:[91/350] Step:[70/75] reconstruction_loss: 0.63 contra_loss: 2.87 contra_loss_cluster: 2.15
2024-12-13 14:01:37,282 - INFO - now the learning rate is: 0.00042271404095252835
2024-12-13 14:01:37,609 - INFO - begin training stage: [92/350]
2024-12-13 14:01:42,393 - INFO - Epoch:[92/350] Step:[10/75] reconstruction_loss: 0.66 contra_loss: 2.85 contra_loss_cluster: 2.23
2024-12-13 14:01:44,987 - INFO - Epoch:[92/350] Step:[20/75] reconstruction_loss: 0.63 contra_loss: 2.83 contra_loss_cluster: 2.26
2024-12-13 14:01:47,554 - INFO - Epoch:[92/350] Step:[30/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 2.14
2024-12-13 14:01:50,146 - INFO - Epoch:[92/350] Step:[40/75] reconstruction_loss: 0.63 contra_loss: 2.85 contra_loss_cluster: 2.28
2024-12-13 14:01:52,735 - INFO - Epoch:[92/350] Step:[50/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 2.20
2024-12-13 14:01:55,343 - INFO - Epoch:[92/350] Step:[60/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 2.01
2024-12-13 14:01:57,914 - INFO - Epoch:[92/350] Step:[70/75] reconstruction_loss: 0.66 contra_loss: 2.86 contra_loss_cluster: 2.24
2024-12-13 14:01:59,731 - INFO - now the learning rate is: 0.00042110422057573877
2024-12-13 14:02:00,081 - INFO - begin training stage: [93/350]
2024-12-13 14:02:05,980 - INFO - Epoch:[93/350] Step:[10/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 2.24
2024-12-13 14:02:08,586 - INFO - Epoch:[93/350] Step:[20/75] reconstruction_loss: 0.62 contra_loss: 2.87 contra_loss_cluster: 2.24
2024-12-13 14:02:11,198 - INFO - Epoch:[93/350] Step:[30/75] reconstruction_loss: 0.64 contra_loss: 2.86 contra_loss_cluster: 2.18
2024-12-13 14:02:13,801 - INFO - Epoch:[93/350] Step:[40/75] reconstruction_loss: 0.63 contra_loss: 2.85 contra_loss_cluster: 2.15
2024-12-13 14:02:16,378 - INFO - Epoch:[93/350] Step:[50/75] reconstruction_loss: 0.66 contra_loss: 2.87 contra_loss_cluster: 2.19
2024-12-13 14:02:18,925 - INFO - Epoch:[93/350] Step:[60/75] reconstruction_loss: 0.63 contra_loss: 2.87 contra_loss_cluster: 2.09
2024-12-13 14:02:20,478 - INFO - Epoch:[93/350] Step:[70/75] reconstruction_loss: 0.66 contra_loss: 2.88 contra_loss_cluster: 2.19
2024-12-13 14:02:21,814 - INFO - now the learning rate is: 0.0004194810175708707
2024-12-13 14:02:22,145 - INFO - begin training stage: [94/350]
2024-12-13 14:02:28,261 - INFO - Epoch:[94/350] Step:[10/75] reconstruction_loss: 0.65 contra_loss: 2.85 contra_loss_cluster: 2.22
2024-12-13 14:02:30,876 - INFO - Epoch:[94/350] Step:[20/75] reconstruction_loss: 0.64 contra_loss: 2.83 contra_loss_cluster: 2.13
2024-12-13 14:02:33,483 - INFO - Epoch:[94/350] Step:[30/75] reconstruction_loss: 0.62 contra_loss: 2.86 contra_loss_cluster: 2.13
2024-12-13 14:02:36,079 - INFO - Epoch:[94/350] Step:[40/75] reconstruction_loss: 0.63 contra_loss: 2.82 contra_loss_cluster: 2.05
2024-12-13 14:02:38,519 - INFO - Epoch:[94/350] Step:[50/75] reconstruction_loss: 0.61 contra_loss: 2.84 contra_loss_cluster: 2.00
2024-12-13 14:02:39,854 - INFO - Epoch:[94/350] Step:[60/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 2.17
2024-12-13 14:02:41,171 - INFO - Epoch:[94/350] Step:[70/75] reconstruction_loss: 0.64 contra_loss: 2.82 contra_loss_cluster: 2.13
2024-12-13 14:02:42,511 - INFO - now the learning rate is: 0.000417844562715589
2024-12-13 14:02:42,846 - INFO - begin training stage: [95/350]
2024-12-13 14:02:48,872 - INFO - Epoch:[95/350] Step:[10/75] reconstruction_loss: 0.65 contra_loss: 2.85 contra_loss_cluster: 2.20
2024-12-13 14:02:51,444 - INFO - Epoch:[95/350] Step:[20/75] reconstruction_loss: 0.61 contra_loss: 2.83 contra_loss_cluster: 2.07
2024-12-13 14:02:54,109 - INFO - Epoch:[95/350] Step:[30/75] reconstruction_loss: 0.66 contra_loss: 2.86 contra_loss_cluster: 2.08
2024-12-13 14:02:56,233 - INFO - Epoch:[95/350] Step:[40/75] reconstruction_loss: 0.60 contra_loss: 2.83 contra_loss_cluster: 2.15
2024-12-13 14:02:57,651 - INFO - Epoch:[95/350] Step:[50/75] reconstruction_loss: 0.65 contra_loss: 2.86 contra_loss_cluster: 2.19
2024-12-13 14:02:59,016 - INFO - Epoch:[95/350] Step:[60/75] reconstruction_loss: 0.64 contra_loss: 2.83 contra_loss_cluster: 2.08
2024-12-13 14:03:00,893 - INFO - Epoch:[95/350] Step:[70/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 2.04
2024-12-13 14:03:02,916 - INFO - now the learning rate is: 0.00041619498785522925
2024-12-13 14:03:03,257 - INFO - begin training stage: [96/350]
2024-12-13 14:03:10,035 - INFO - Epoch:[96/350] Step:[10/75] reconstruction_loss: 0.62 contra_loss: 2.83 contra_loss_cluster: 2.06
2024-12-13 14:03:12,232 - INFO - Epoch:[96/350] Step:[20/75] reconstruction_loss: 0.61 contra_loss: 2.87 contra_loss_cluster: 2.10
2024-12-13 14:03:13,577 - INFO - Epoch:[96/350] Step:[30/75] reconstruction_loss: 0.65 contra_loss: 2.87 contra_loss_cluster: 2.16
2024-12-13 14:03:15,246 - INFO - Epoch:[96/350] Step:[40/75] reconstruction_loss: 0.63 contra_loss: 2.82 contra_loss_cluster: 2.03
2024-12-13 14:03:17,052 - INFO - Epoch:[96/350] Step:[50/75] reconstruction_loss: 0.62 contra_loss: 2.86 contra_loss_cluster: 1.99
2024-12-13 14:03:19,666 - INFO - Epoch:[96/350] Step:[60/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 2.04
2024-12-13 14:03:22,231 - INFO - Epoch:[96/350] Step:[70/75] reconstruction_loss: 0.63 contra_loss: 2.82 contra_loss_cluster: 2.07
2024-12-13 14:03:24,229 - INFO - now the learning rate is: 0.0004145324258921752
2024-12-13 14:03:24,565 - INFO - begin training stage: [97/350]
2024-12-13 14:03:30,303 - INFO - Epoch:[97/350] Step:[10/75] reconstruction_loss: 0.62 contra_loss: 2.90 contra_loss_cluster: 2.04
2024-12-13 14:03:31,645 - INFO - Epoch:[97/350] Step:[20/75] reconstruction_loss: 0.63 contra_loss: 2.86 contra_loss_cluster: 2.00
2024-12-13 14:03:32,986 - INFO - Epoch:[97/350] Step:[30/75] reconstruction_loss: 0.64 contra_loss: 2.87 contra_loss_cluster: 2.06
2024-12-13 14:03:34,868 - INFO - Epoch:[97/350] Step:[40/75] reconstruction_loss: 0.60 contra_loss: 2.83 contra_loss_cluster: 2.07
2024-12-13 14:03:37,428 - INFO - Epoch:[97/350] Step:[50/75] reconstruction_loss: 0.60 contra_loss: 2.83 contra_loss_cluster: 2.09
2024-12-13 14:03:39,987 - INFO - Epoch:[97/350] Step:[60/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 2.11
2024-12-13 14:03:42,563 - INFO - Epoch:[97/350] Step:[70/75] reconstruction_loss: 0.67 contra_loss: 2.85 contra_loss_cluster: 2.11
2024-12-13 14:03:44,524 - INFO - now the learning rate is: 0.0004128570107751508
2024-12-13 14:03:44,872 - INFO - begin training stage: [98/350]
2024-12-13 14:03:49,912 - INFO - Epoch:[98/350] Step:[10/75] reconstruction_loss: 0.62 contra_loss: 2.82 contra_loss_cluster: 2.17
2024-12-13 14:03:51,268 - INFO - Epoch:[98/350] Step:[20/75] reconstruction_loss: 0.63 contra_loss: 2.87 contra_loss_cluster: 2.06
2024-12-13 14:03:52,992 - INFO - Epoch:[98/350] Step:[30/75] reconstruction_loss: 0.61 contra_loss: 2.88 contra_loss_cluster: 2.05
2024-12-13 14:03:54,748 - INFO - Epoch:[98/350] Step:[40/75] reconstruction_loss: 0.62 contra_loss: 2.86 contra_loss_cluster: 2.00
2024-12-13 14:03:56,467 - INFO - Epoch:[98/350] Step:[50/75] reconstruction_loss: 0.63 contra_loss: 2.85 contra_loss_cluster: 2.14
2024-12-13 14:03:57,803 - INFO - Epoch:[98/350] Step:[60/75] reconstruction_loss: 0.63 contra_loss: 2.82 contra_loss_cluster: 2.12
2024-12-13 14:03:59,133 - INFO - Epoch:[98/350] Step:[70/75] reconstruction_loss: 0.63 contra_loss: 2.83 contra_loss_cluster: 2.07
2024-12-13 14:04:00,498 - INFO - now the learning rate is: 0.0004111688774884287
2024-12-13 14:04:00,835 - INFO - begin training stage: [99/350]
2024-12-13 14:04:05,863 - INFO - Epoch:[99/350] Step:[10/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 2.05
2024-12-13 14:04:07,199 - INFO - Epoch:[99/350] Step:[20/75] reconstruction_loss: 0.65 contra_loss: 2.84 contra_loss_cluster: 1.93
2024-12-13 14:04:08,539 - INFO - Epoch:[99/350] Step:[30/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 2.07
2024-12-13 14:04:09,879 - INFO - Epoch:[99/350] Step:[40/75] reconstruction_loss: 0.61 contra_loss: 2.87 contra_loss_cluster: 2.00
2024-12-13 14:04:11,233 - INFO - Epoch:[99/350] Step:[50/75] reconstruction_loss: 0.63 contra_loss: 2.83 contra_loss_cluster: 2.05
2024-12-13 14:04:12,569 - INFO - Epoch:[99/350] Step:[60/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 2.09
2024-12-13 14:04:14,217 - INFO - Epoch:[99/350] Step:[70/75] reconstruction_loss: 0.63 contra_loss: 2.83 contra_loss_cluster: 1.99
2024-12-13 14:04:16,197 - INFO - now the learning rate is: 0.00040946816204095456
2024-12-13 14:04:16,559 - INFO - begin training stage: [100/350]
2024-12-13 14:04:22,766 - INFO - Epoch:[100/350] Step:[10/75] reconstruction_loss: 0.62 contra_loss: 2.84 contra_loss_cluster: 1.95
2024-12-13 14:04:25,392 - INFO - Epoch:[100/350] Step:[20/75] reconstruction_loss: 0.66 contra_loss: 2.88 contra_loss_cluster: 2.02
2024-12-13 14:04:26,934 - INFO - Epoch:[100/350] Step:[30/75] reconstruction_loss: 0.61 contra_loss: 2.85 contra_loss_cluster: 1.98
2024-12-13 14:04:28,307 - INFO - Epoch:[100/350] Step:[40/75] reconstruction_loss: 0.62 contra_loss: 2.83 contra_loss_cluster: 2.00
2024-12-13 14:04:29,756 - INFO - Epoch:[100/350] Step:[50/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 1.95
2024-12-13 14:04:32,118 - INFO - Epoch:[100/350] Step:[60/75] reconstruction_loss: 0.63 contra_loss: 2.85 contra_loss_cluster: 1.96
2024-12-13 14:04:34,693 - INFO - Epoch:[100/350] Step:[70/75] reconstruction_loss: 0.64 contra_loss: 2.81 contra_loss_cluster: 2.05
2024-12-13 14:04:36,664 - INFO - now the learning rate is: 0.00040775500145538945
2024-12-13 14:04:37,004 - INFO - eval data number: 9537
2024-12-13 14:04:45,239 - INFO - loading query data ......
2024-12-13 14:04:52,538 - INFO - retrieval costs: 15.53169059753418
2024-12-13 14:04:53,393 - INFO - hamming distance computation costs: 0.8556265830993652
2024-12-13 14:04:54,671 - INFO - hamming ranking costs: 1.2777814865112305
2024-12-13 14:04:54,672 - INFO - labels shape: (3783, 101) and (9537, 101)
2024-12-13 14:04:57,896 - INFO - similarity labels generation costs: 3.2240042686462402
2024-12-13 14:04:57,958 - INFO - topK: 5:, map: 0.441018591946427
2024-12-13 14:04:58,172 - INFO - topK: 20:, map: 0.38808859482329544
2024-12-13 14:04:58,585 - INFO - topK: 40:, map: 0.347918192504146
2024-12-13 14:04:59,198 - INFO - topK: 60:, map: 0.31161640256635303
2024-12-13 14:05:00,019 - INFO - topK: 80:, map: 0.27812884399613613
2024-12-13 14:05:01,026 - INFO - topK: 100:, map: 0.24984426897929896
2024-12-13 14:05:01,039 - INFO - begin training stage: [101/350]
2024-12-13 14:05:08,210 - INFO - Epoch:[101/350] Step:[10/75] reconstruction_loss: 0.62 contra_loss: 2.86 contra_loss_cluster: 2.08
2024-12-13 14:05:10,756 - INFO - Epoch:[101/350] Step:[20/75] reconstruction_loss: 0.63 contra_loss: 2.82 contra_loss_cluster: 1.96
2024-12-13 14:05:13,360 - INFO - Epoch:[101/350] Step:[30/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 2.09
2024-12-13 14:05:15,063 - INFO - Epoch:[101/350] Step:[40/75] reconstruction_loss: 0.59 contra_loss: 2.85 contra_loss_cluster: 2.09
2024-12-13 14:05:16,426 - INFO - Epoch:[101/350] Step:[50/75] reconstruction_loss: 0.62 contra_loss: 2.83 contra_loss_cluster: 1.88
2024-12-13 14:05:17,772 - INFO - Epoch:[101/350] Step:[60/75] reconstruction_loss: 0.64 contra_loss: 2.89 contra_loss_cluster: 2.17
2024-12-13 14:05:19,661 - INFO - Epoch:[101/350] Step:[70/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 1.99
2024-12-13 14:05:21,656 - INFO - now the learning rate is: 0.00040602953375706987
2024-12-13 14:05:22,018 - INFO - begin training stage: [102/350]
2024-12-13 14:05:29,193 - INFO - Epoch:[102/350] Step:[10/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 2.06
2024-12-13 14:05:30,819 - INFO - Epoch:[102/350] Step:[20/75] reconstruction_loss: 0.59 contra_loss: 2.85 contra_loss_cluster: 1.99
2024-12-13 14:05:32,216 - INFO - Epoch:[102/350] Step:[30/75] reconstruction_loss: 0.62 contra_loss: 2.84 contra_loss_cluster: 1.99
2024-12-13 14:05:33,579 - INFO - Epoch:[102/350] Step:[40/75] reconstruction_loss: 0.63 contra_loss: 2.85 contra_loss_cluster: 1.94
2024-12-13 14:05:35,758 - INFO - Epoch:[102/350] Step:[50/75] reconstruction_loss: 0.64 contra_loss: 2.83 contra_loss_cluster: 2.00
2024-12-13 14:05:38,328 - INFO - Epoch:[102/350] Step:[60/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 2.07
2024-12-13 14:05:40,909 - INFO - Epoch:[102/350] Step:[70/75] reconstruction_loss: 0.63 contra_loss: 2.89 contra_loss_cluster: 2.01
2024-12-13 14:05:42,892 - INFO - now the learning rate is: 0.0004042918979628878
2024-12-13 14:05:43,235 - INFO - begin training stage: [103/350]
2024-12-13 14:05:49,053 - INFO - Epoch:[103/350] Step:[10/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 1.96
2024-12-13 14:05:50,417 - INFO - Epoch:[103/350] Step:[20/75] reconstruction_loss: 0.64 contra_loss: 2.81 contra_loss_cluster: 1.95
2024-12-13 14:05:52,400 - INFO - Epoch:[103/350] Step:[30/75] reconstruction_loss: 0.60 contra_loss: 2.82 contra_loss_cluster: 1.85
2024-12-13 14:05:54,993 - INFO - Epoch:[103/350] Step:[40/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 1.93
2024-12-13 14:05:57,615 - INFO - Epoch:[103/350] Step:[50/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 1.90
2024-12-13 14:06:00,225 - INFO - Epoch:[103/350] Step:[60/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 2.07
2024-12-13 14:06:02,778 - INFO - Epoch:[103/350] Step:[70/75] reconstruction_loss: 0.62 contra_loss: 2.83 contra_loss_cluster: 1.97
2024-12-13 14:06:04,736 - INFO - now the learning rate is: 0.00040254223407008995
2024-12-13 14:06:05,104 - INFO - begin training stage: [104/350]
2024-12-13 14:06:10,982 - INFO - Epoch:[104/350] Step:[10/75] reconstruction_loss: 0.61 contra_loss: 2.86 contra_loss_cluster: 2.02
2024-12-13 14:06:13,606 - INFO - Epoch:[104/350] Step:[20/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 2.00
2024-12-13 14:06:16,187 - INFO - Epoch:[104/350] Step:[30/75] reconstruction_loss: 0.62 contra_loss: 2.88 contra_loss_cluster: 1.94
2024-12-13 14:06:18,771 - INFO - Epoch:[104/350] Step:[40/75] reconstruction_loss: 0.61 contra_loss: 2.84 contra_loss_cluster: 1.84
2024-12-13 14:06:21,365 - INFO - Epoch:[104/350] Step:[50/75] reconstruction_loss: 0.61 contra_loss: 2.86 contra_loss_cluster: 1.88
2024-12-13 14:06:23,964 - INFO - Epoch:[104/350] Step:[60/75] reconstruction_loss: 0.62 contra_loss: 2.88 contra_loss_cluster: 1.95
2024-12-13 14:06:26,553 - INFO - Epoch:[104/350] Step:[70/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 1.93
2024-12-13 14:06:27,979 - INFO - now the learning rate is: 0.0004007806830449989
2024-12-13 14:06:28,298 - INFO - begin training stage: [105/350]
2024-12-13 14:06:35,093 - INFO - Epoch:[105/350] Step:[10/75] reconstruction_loss: 0.63 contra_loss: 2.85 contra_loss_cluster: 1.98
2024-12-13 14:06:37,689 - INFO - Epoch:[105/350] Step:[20/75] reconstruction_loss: 0.61 contra_loss: 2.82 contra_loss_cluster: 1.95
2024-12-13 14:06:40,267 - INFO - Epoch:[105/350] Step:[30/75] reconstruction_loss: 0.62 contra_loss: 2.85 contra_loss_cluster: 1.90
2024-12-13 14:06:42,876 - INFO - Epoch:[105/350] Step:[40/75] reconstruction_loss: 0.61 contra_loss: 2.86 contra_loss_cluster: 1.90
2024-12-13 14:06:45,485 - INFO - Epoch:[105/350] Step:[50/75] reconstruction_loss: 0.63 contra_loss: 2.86 contra_loss_cluster: 1.99
2024-12-13 14:06:47,331 - INFO - Epoch:[105/350] Step:[60/75] reconstruction_loss: 0.61 contra_loss: 2.83 contra_loss_cluster: 1.98
2024-12-13 14:06:48,670 - INFO - Epoch:[105/350] Step:[70/75] reconstruction_loss: 0.65 contra_loss: 2.83 contra_loss_cluster: 1.98
2024-12-13 14:06:49,981 - INFO - now the learning rate is: 0.00039900738681165573
2024-12-13 14:06:50,332 - INFO - begin training stage: [106/350]
2024-12-13 14:06:57,093 - INFO - Epoch:[106/350] Step:[10/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 2.00
2024-12-13 14:06:59,701 - INFO - Epoch:[106/350] Step:[20/75] reconstruction_loss: 0.63 contra_loss: 2.86 contra_loss_cluster: 1.93
2024-12-13 14:07:02,322 - INFO - Epoch:[106/350] Step:[30/75] reconstruction_loss: 0.64 contra_loss: 2.83 contra_loss_cluster: 1.99
2024-12-13 14:07:04,484 - INFO - Epoch:[106/350] Step:[40/75] reconstruction_loss: 0.61 contra_loss: 2.84 contra_loss_cluster: 1.95
2024-12-13 14:07:05,859 - INFO - Epoch:[106/350] Step:[50/75] reconstruction_loss: 0.62 contra_loss: 2.86 contra_loss_cluster: 1.87
2024-12-13 14:07:07,214 - INFO - Epoch:[106/350] Step:[60/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 1.85
2024-12-13 14:07:08,574 - INFO - Epoch:[106/350] Step:[70/75] reconstruction_loss: 0.66 contra_loss: 2.83 contra_loss_cluster: 2.00
2024-12-13 14:07:10,466 - INFO - now the learning rate is: 0.00039722248824038527
2024-12-13 14:07:10,780 - INFO - begin training stage: [107/350]
2024-12-13 14:07:17,872 - INFO - Epoch:[107/350] Step:[10/75] reconstruction_loss: 0.61 contra_loss: 2.83 contra_loss_cluster: 1.91
2024-12-13 14:07:20,325 - INFO - Epoch:[107/350] Step:[20/75] reconstruction_loss: 0.62 contra_loss: 2.88 contra_loss_cluster: 1.95
2024-12-13 14:07:21,724 - INFO - Epoch:[107/350] Step:[30/75] reconstruction_loss: 0.58 contra_loss: 2.85 contra_loss_cluster: 1.85
2024-12-13 14:07:23,082 - INFO - Epoch:[107/350] Step:[40/75] reconstruction_loss: 0.61 contra_loss: 2.86 contra_loss_cluster: 1.77
2024-12-13 14:07:24,438 - INFO - Epoch:[107/350] Step:[50/75] reconstruction_loss: 0.61 contra_loss: 2.85 contra_loss_cluster: 2.06
2024-12-13 14:07:26,677 - INFO - Epoch:[107/350] Step:[60/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 1.77
2024-12-13 14:07:29,280 - INFO - Epoch:[107/350] Step:[70/75] reconstruction_loss: 0.63 contra_loss: 2.86 contra_loss_cluster: 1.89
2024-12-13 14:07:31,292 - INFO - now the learning rate is: 0.00039542613113628574
2024-12-13 14:07:31,616 - INFO - begin training stage: [108/350]
2024-12-13 14:07:37,527 - INFO - Epoch:[108/350] Step:[10/75] reconstruction_loss: 0.64 contra_loss: 2.89 contra_loss_cluster: 1.96
2024-12-13 14:07:38,884 - INFO - Epoch:[108/350] Step:[20/75] reconstruction_loss: 0.61 contra_loss: 2.82 contra_loss_cluster: 1.87
2024-12-13 14:07:40,234 - INFO - Epoch:[108/350] Step:[30/75] reconstruction_loss: 0.59 contra_loss: 2.81 contra_loss_cluster: 1.90
2024-12-13 14:07:42,305 - INFO - Epoch:[108/350] Step:[40/75] reconstruction_loss: 0.63 contra_loss: 2.87 contra_loss_cluster: 1.96
2024-12-13 14:07:44,862 - INFO - Epoch:[108/350] Step:[50/75] reconstruction_loss: 0.60 contra_loss: 2.83 contra_loss_cluster: 1.71
2024-12-13 14:07:47,404 - INFO - Epoch:[108/350] Step:[60/75] reconstruction_loss: 0.63 contra_loss: 2.86 contra_loss_cluster: 1.93
2024-12-13 14:07:49,977 - INFO - Epoch:[108/350] Step:[70/75] reconstruction_loss: 0.61 contra_loss: 2.84 contra_loss_cluster: 1.83
2024-12-13 14:07:51,897 - INFO - now the learning rate is: 0.00039361846022764233
2024-12-13 14:07:52,217 - INFO - begin training stage: [109/350]
2024-12-13 14:07:57,934 - INFO - Epoch:[109/350] Step:[10/75] reconstruction_loss: 0.60 contra_loss: 2.87 contra_loss_cluster: 1.85
2024-12-13 14:07:59,536 - INFO - Epoch:[109/350] Step:[20/75] reconstruction_loss: 0.58 contra_loss: 2.86 contra_loss_cluster: 1.87
2024-12-13 14:08:02,119 - INFO - Epoch:[109/350] Step:[30/75] reconstruction_loss: 0.63 contra_loss: 2.83 contra_loss_cluster: 1.92
2024-12-13 14:08:04,713 - INFO - Epoch:[109/350] Step:[40/75] reconstruction_loss: 0.61 contra_loss: 2.81 contra_loss_cluster: 1.86
2024-12-13 14:08:07,337 - INFO - Epoch:[109/350] Step:[50/75] reconstruction_loss: 0.61 contra_loss: 2.81 contra_loss_cluster: 1.86
2024-12-13 14:08:09,944 - INFO - Epoch:[109/350] Step:[60/75] reconstruction_loss: 0.66 contra_loss: 2.84 contra_loss_cluster: 1.91
2024-12-13 14:08:12,598 - INFO - Epoch:[109/350] Step:[70/75] reconstruction_loss: 0.60 contra_loss: 2.82 contra_loss_cluster: 1.76
2024-12-13 14:08:14,539 - INFO - now the learning rate is: 0.0003917996211542671
2024-12-13 14:08:14,864 - INFO - begin training stage: [110/350]
2024-12-13 14:08:21,542 - INFO - Epoch:[110/350] Step:[10/75] reconstruction_loss: 0.62 contra_loss: 2.85 contra_loss_cluster: 1.82
2024-12-13 14:08:24,169 - INFO - Epoch:[110/350] Step:[20/75] reconstruction_loss: 0.59 contra_loss: 2.86 contra_loss_cluster: 1.93
2024-12-13 14:08:26,803 - INFO - Epoch:[110/350] Step:[30/75] reconstruction_loss: 0.65 contra_loss: 2.87 contra_loss_cluster: 1.88
2024-12-13 14:08:29,413 - INFO - Epoch:[110/350] Step:[40/75] reconstruction_loss: 0.61 contra_loss: 2.87 contra_loss_cluster: 1.85
2024-12-13 14:08:32,020 - INFO - Epoch:[110/350] Step:[50/75] reconstruction_loss: 0.61 contra_loss: 2.81 contra_loss_cluster: 1.79
2024-12-13 14:08:34,614 - INFO - Epoch:[110/350] Step:[60/75] reconstruction_loss: 0.60 contra_loss: 2.85 contra_loss_cluster: 1.84
2024-12-13 14:08:36,325 - INFO - Epoch:[110/350] Step:[70/75] reconstruction_loss: 0.62 contra_loss: 2.85 contra_loss_cluster: 1.83
2024-12-13 14:08:37,683 - INFO - now the learning rate is: 0.0003899697604557649
2024-12-13 14:08:38,005 - INFO - begin training stage: [111/350]
2024-12-13 14:08:44,754 - INFO - Epoch:[111/350] Step:[10/75] reconstruction_loss: 0.61 contra_loss: 2.85 contra_loss_cluster: 1.77
2024-12-13 14:08:47,347 - INFO - Epoch:[111/350] Step:[20/75] reconstruction_loss: 0.61 contra_loss: 2.83 contra_loss_cluster: 1.86
2024-12-13 14:08:49,953 - INFO - Epoch:[111/350] Step:[30/75] reconstruction_loss: 0.62 contra_loss: 2.87 contra_loss_cluster: 1.76
2024-12-13 14:08:52,573 - INFO - Epoch:[111/350] Step:[40/75] reconstruction_loss: 0.62 contra_loss: 2.86 contra_loss_cluster: 1.89
2024-12-13 14:08:54,586 - INFO - Epoch:[111/350] Step:[50/75] reconstruction_loss: 0.63 contra_loss: 2.83 contra_loss_cluster: 1.88
2024-12-13 14:08:55,950 - INFO - Epoch:[111/350] Step:[60/75] reconstruction_loss: 0.62 contra_loss: 2.83 contra_loss_cluster: 1.85
2024-12-13 14:08:57,309 - INFO - Epoch:[111/350] Step:[70/75] reconstruction_loss: 0.60 contra_loss: 2.85 contra_loss_cluster: 1.78
2024-12-13 14:08:58,682 - INFO - now the learning rate is: 0.0003881290255597272
2024-12-13 14:08:59,004 - INFO - begin training stage: [112/350]
2024-12-13 14:09:05,867 - INFO - Epoch:[112/350] Step:[10/75] reconstruction_loss: 0.61 contra_loss: 2.84 contra_loss_cluster: 1.83
2024-12-13 14:09:08,526 - INFO - Epoch:[112/350] Step:[20/75] reconstruction_loss: 0.61 contra_loss: 2.84 contra_loss_cluster: 1.87
2024-12-13 14:09:10,744 - INFO - Epoch:[112/350] Step:[30/75] reconstruction_loss: 0.60 contra_loss: 2.82 contra_loss_cluster: 1.80
2024-12-13 14:09:12,122 - INFO - Epoch:[112/350] Step:[40/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 1.88
2024-12-13 14:09:13,501 - INFO - Epoch:[112/350] Step:[50/75] reconstruction_loss: 0.60 contra_loss: 2.86 contra_loss_cluster: 1.71
2024-12-13 14:09:14,879 - INFO - Epoch:[112/350] Step:[60/75] reconstruction_loss: 0.61 contra_loss: 2.85 contra_loss_cluster: 1.92
2024-12-13 14:09:17,481 - INFO - Epoch:[112/350] Step:[70/75] reconstruction_loss: 0.62 contra_loss: 2.82 contra_loss_cluster: 1.86
2024-12-13 14:09:19,459 - INFO - now the learning rate is: 0.000386277564769854
2024-12-13 14:09:19,779 - INFO - begin training stage: [113/350]
2024-12-13 14:09:26,505 - INFO - Epoch:[113/350] Step:[10/75] reconstruction_loss: 0.61 contra_loss: 2.85 contra_loss_cluster: 1.75
2024-12-13 14:09:27,892 - INFO - Epoch:[113/350] Step:[20/75] reconstruction_loss: 0.64 contra_loss: 2.83 contra_loss_cluster: 1.79
2024-12-13 14:09:29,292 - INFO - Epoch:[113/350] Step:[30/75] reconstruction_loss: 0.63 contra_loss: 2.87 contra_loss_cluster: 1.85
2024-12-13 14:09:30,700 - INFO - Epoch:[113/350] Step:[40/75] reconstruction_loss: 0.63 contra_loss: 2.85 contra_loss_cluster: 1.79
2024-12-13 14:09:33,298 - INFO - Epoch:[113/350] Step:[50/75] reconstruction_loss: 0.65 contra_loss: 2.82 contra_loss_cluster: 1.77
2024-12-13 14:09:35,892 - INFO - Epoch:[113/350] Step:[60/75] reconstruction_loss: 0.62 contra_loss: 2.83 contra_loss_cluster: 1.88
2024-12-13 14:09:38,484 - INFO - Epoch:[113/350] Step:[70/75] reconstruction_loss: 0.62 contra_loss: 2.83 contra_loss_cluster: 1.80
2024-12-13 14:09:40,510 - INFO - now the learning rate is: 0.0003844155272540056
2024-12-13 14:09:40,828 - INFO - begin training stage: [114/350]
2024-12-13 14:09:46,473 - INFO - Epoch:[114/350] Step:[10/75] reconstruction_loss: 0.60 contra_loss: 2.83 contra_loss_cluster: 1.82
2024-12-13 14:09:47,852 - INFO - Epoch:[114/350] Step:[20/75] reconstruction_loss: 0.59 contra_loss: 2.86 contra_loss_cluster: 1.77
2024-12-13 14:09:50,453 - INFO - Epoch:[114/350] Step:[30/75] reconstruction_loss: 0.66 contra_loss: 2.89 contra_loss_cluster: 1.77
2024-12-13 14:09:53,071 - INFO - Epoch:[114/350] Step:[40/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 1.66
2024-12-13 14:09:55,681 - INFO - Epoch:[114/350] Step:[50/75] reconstruction_loss: 0.60 contra_loss: 2.81 contra_loss_cluster: 1.82
2024-12-13 14:09:58,304 - INFO - Epoch:[114/350] Step:[60/75] reconstruction_loss: 0.62 contra_loss: 2.84 contra_loss_cluster: 1.84
2024-12-13 14:10:00,919 - INFO - Epoch:[114/350] Step:[70/75] reconstruction_loss: 0.60 contra_loss: 2.82 contra_loss_cluster: 1.83
2024-12-13 14:10:02,939 - INFO - now the learning rate is: 0.00038254306303218396
2024-12-13 14:10:03,285 - INFO - begin training stage: [115/350]
2024-12-13 14:10:09,774 - INFO - Epoch:[115/350] Step:[10/75] reconstruction_loss: 0.56 contra_loss: 2.85 contra_loss_cluster: 1.75
2024-12-13 14:10:11,634 - INFO - Epoch:[115/350] Step:[20/75] reconstruction_loss: 0.58 contra_loss: 2.84 contra_loss_cluster: 1.82
2024-12-13 14:10:13,020 - INFO - Epoch:[115/350] Step:[30/75] reconstruction_loss: 0.61 contra_loss: 2.85 contra_loss_cluster: 1.77
2024-12-13 14:10:14,389 - INFO - Epoch:[115/350] Step:[40/75] reconstruction_loss: 0.61 contra_loss: 2.84 contra_loss_cluster: 1.78
2024-12-13 14:10:15,881 - INFO - Epoch:[115/350] Step:[50/75] reconstruction_loss: 0.62 contra_loss: 2.84 contra_loss_cluster: 1.71
2024-12-13 14:10:17,550 - INFO - Epoch:[115/350] Step:[60/75] reconstruction_loss: 0.61 contra_loss: 2.85 contra_loss_cluster: 1.77
2024-12-13 14:10:18,905 - INFO - Epoch:[115/350] Step:[70/75] reconstruction_loss: 0.62 contra_loss: 2.83 contra_loss_cluster: 1.74
2024-12-13 14:10:20,220 - INFO - now the learning rate is: 0.00038066032296444686
2024-12-13 14:10:20,546 - INFO - begin training stage: [116/350]
2024-12-13 14:10:26,355 - INFO - Epoch:[116/350] Step:[10/75] reconstruction_loss: 0.61 contra_loss: 2.82 contra_loss_cluster: 1.69
2024-12-13 14:10:27,737 - INFO - Epoch:[116/350] Step:[20/75] reconstruction_loss: 0.62 contra_loss: 2.84 contra_loss_cluster: 1.84
2024-12-13 14:10:29,122 - INFO - Epoch:[116/350] Step:[30/75] reconstruction_loss: 0.62 contra_loss: 2.87 contra_loss_cluster: 1.80
2024-12-13 14:10:31,390 - INFO - Epoch:[116/350] Step:[40/75] reconstruction_loss: 0.61 contra_loss: 2.83 contra_loss_cluster: 1.79
2024-12-13 14:10:33,949 - INFO - Epoch:[116/350] Step:[50/75] reconstruction_loss: 0.61 contra_loss: 2.85 contra_loss_cluster: 1.73
2024-12-13 14:10:36,523 - INFO - Epoch:[116/350] Step:[60/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 1.76
2024-12-13 14:10:39,090 - INFO - Epoch:[116/350] Step:[70/75] reconstruction_loss: 0.59 contra_loss: 2.86 contra_loss_cluster: 1.80
2024-12-13 14:10:41,063 - INFO - now the learning rate is: 0.00037876745873875257
2024-12-13 14:10:41,400 - INFO - begin training stage: [117/350]
2024-12-13 14:10:47,261 - INFO - Epoch:[117/350] Step:[10/75] reconstruction_loss: 0.64 contra_loss: 2.85 contra_loss_cluster: 1.70
2024-12-13 14:10:49,469 - INFO - Epoch:[117/350] Step:[20/75] reconstruction_loss: 0.64 contra_loss: 2.84 contra_loss_cluster: 1.78
2024-12-13 14:10:52,068 - INFO - Epoch:[117/350] Step:[30/75] reconstruction_loss: 0.58 contra_loss: 2.84 contra_loss_cluster: 1.79
2024-12-13 14:10:54,678 - INFO - Epoch:[117/350] Step:[40/75] reconstruction_loss: 0.61 contra_loss: 2.81 contra_loss_cluster: 1.73
2024-12-13 14:10:57,275 - INFO - Epoch:[117/350] Step:[50/75] reconstruction_loss: 0.60 contra_loss: 2.85 contra_loss_cluster: 1.59
2024-12-13 14:10:59,860 - INFO - Epoch:[117/350] Step:[60/75] reconstruction_loss: 0.62 contra_loss: 2.84 contra_loss_cluster: 1.72
2024-12-13 14:11:02,457 - INFO - Epoch:[117/350] Step:[70/75] reconstruction_loss: 0.60 contra_loss: 2.84 contra_loss_cluster: 1.71
2024-12-13 14:11:04,436 - INFO - now the learning rate is: 0.0003768646228587392
2024-12-13 14:11:04,767 - INFO - begin training stage: [118/350]
2024-12-13 14:11:11,855 - INFO - Epoch:[118/350] Step:[10/75] reconstruction_loss: 0.59 contra_loss: 2.84 contra_loss_cluster: 1.85
2024-12-13 14:11:14,465 - INFO - Epoch:[118/350] Step:[20/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 1.67
2024-12-13 14:11:17,066 - INFO - Epoch:[118/350] Step:[30/75] reconstruction_loss: 0.60 contra_loss: 2.83 contra_loss_cluster: 1.65
2024-12-13 14:11:19,672 - INFO - Epoch:[118/350] Step:[40/75] reconstruction_loss: 0.61 contra_loss: 2.85 contra_loss_cluster: 1.71
2024-12-13 14:11:22,303 - INFO - Epoch:[118/350] Step:[50/75] reconstruction_loss: 0.59 contra_loss: 2.86 contra_loss_cluster: 1.70
2024-12-13 14:11:24,599 - INFO - Epoch:[118/350] Step:[60/75] reconstruction_loss: 0.60 contra_loss: 2.86 contra_loss_cluster: 1.67
2024-12-13 14:11:25,961 - INFO - Epoch:[118/350] Step:[70/75] reconstruction_loss: 0.59 contra_loss: 2.81 contra_loss_cluster: 1.72
2024-12-13 14:11:27,273 - INFO - now the learning rate is: 0.0003749519686314377
2024-12-13 14:11:27,624 - INFO - begin training stage: [119/350]
2024-12-13 14:11:34,515 - INFO - Epoch:[119/350] Step:[10/75] reconstruction_loss: 0.59 contra_loss: 2.84 contra_loss_cluster: 1.72
2024-12-13 14:11:37,125 - INFO - Epoch:[119/350] Step:[20/75] reconstruction_loss: 0.60 contra_loss: 2.84 contra_loss_cluster: 1.74
2024-12-13 14:11:39,748 - INFO - Epoch:[119/350] Step:[30/75] reconstruction_loss: 0.59 contra_loss: 2.84 contra_loss_cluster: 1.68
2024-12-13 14:11:42,229 - INFO - Epoch:[119/350] Step:[40/75] reconstruction_loss: 0.59 contra_loss: 2.85 contra_loss_cluster: 1.80
2024-12-13 14:11:43,605 - INFO - Epoch:[119/350] Step:[50/75] reconstruction_loss: 0.62 contra_loss: 2.82 contra_loss_cluster: 1.67
2024-12-13 14:11:44,954 - INFO - Epoch:[119/350] Step:[60/75] reconstruction_loss: 0.62 contra_loss: 2.87 contra_loss_cluster: 1.58
2024-12-13 14:11:46,319 - INFO - Epoch:[119/350] Step:[70/75] reconstruction_loss: 0.59 contra_loss: 2.82 contra_loss_cluster: 1.79
2024-12-13 14:11:48,311 - INFO - now the learning rate is: 0.00037302965015492006
2024-12-13 14:11:48,639 - INFO - begin training stage: [120/350]
2024-12-13 14:11:55,812 - INFO - Epoch:[120/350] Step:[10/75] reconstruction_loss: 0.61 contra_loss: 2.83 contra_loss_cluster: 1.68
2024-12-13 14:11:58,026 - INFO - Epoch:[120/350] Step:[20/75] reconstruction_loss: 0.61 contra_loss: 2.84 contra_loss_cluster: 1.68
2024-12-13 14:11:59,389 - INFO - Epoch:[120/350] Step:[30/75] reconstruction_loss: 0.61 contra_loss: 2.86 contra_loss_cluster: 1.70
2024-12-13 14:12:00,762 - INFO - Epoch:[120/350] Step:[40/75] reconstruction_loss: 0.59 contra_loss: 2.85 contra_loss_cluster: 1.69
2024-12-13 14:12:02,296 - INFO - Epoch:[120/350] Step:[50/75] reconstruction_loss: 0.61 contra_loss: 2.84 contra_loss_cluster: 1.73
2024-12-13 14:12:04,898 - INFO - Epoch:[120/350] Step:[60/75] reconstruction_loss: 0.62 contra_loss: 2.84 contra_loss_cluster: 1.67
2024-12-13 14:12:07,483 - INFO - Epoch:[120/350] Step:[70/75] reconstruction_loss: 0.62 contra_loss: 2.87 contra_loss_cluster: 1.65
2024-12-13 14:12:09,451 - INFO - now the learning rate is: 0.0003710978223058845
2024-12-13 14:12:09,764 - INFO - eval data number: 9537
2024-12-13 14:12:17,523 - INFO - loading query data ......
2024-12-13 14:12:23,698 - INFO - retrieval costs: 13.930529832839966
2024-12-13 14:12:24,557 - INFO - hamming distance computation costs: 0.8593266010284424
2024-12-13 14:12:25,770 - INFO - hamming ranking costs: 1.2127702236175537
2024-12-13 14:12:25,770 - INFO - labels shape: (3783, 101) and (9537, 101)
2024-12-13 14:12:28,772 - INFO - similarity labels generation costs: 3.0020861625671387
2024-12-13 14:12:28,832 - INFO - topK: 5:, map: 0.4473883161512028
2024-12-13 14:12:29,052 - INFO - topK: 20:, map: 0.40399954320879283
2024-12-13 14:12:29,468 - INFO - topK: 40:, map: 0.36037567575714485
2024-12-13 14:12:30,089 - INFO - topK: 60:, map: 0.3223281027025554
2024-12-13 14:12:30,932 - INFO - topK: 80:, map: 0.2896092789453105
2024-12-13 14:12:31,960 - INFO - topK: 100:, map: 0.25830281455934107
2024-12-13 14:12:31,971 - INFO - begin training stage: [121/350]
2024-12-13 14:12:38,296 - INFO - Epoch:[121/350] Step:[10/75] reconstruction_loss: 0.61 contra_loss: 2.81 contra_loss_cluster: 1.74
2024-12-13 14:12:40,913 - INFO - Epoch:[121/350] Step:[20/75] reconstruction_loss: 0.61 contra_loss: 2.85 contra_loss_cluster: 1.71
2024-12-13 14:12:43,552 - INFO - Epoch:[121/350] Step:[30/75] reconstruction_loss: 0.62 contra_loss: 2.86 contra_loss_cluster: 1.74
2024-12-13 14:12:45,278 - INFO - Epoch:[121/350] Step:[40/75] reconstruction_loss: 0.60 contra_loss: 2.83 contra_loss_cluster: 1.67
2024-12-13 14:12:46,657 - INFO - Epoch:[121/350] Step:[50/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 1.75
2024-12-13 14:12:47,997 - INFO - Epoch:[121/350] Step:[60/75] reconstruction_loss: 0.62 contra_loss: 2.84 contra_loss_cluster: 1.73
2024-12-13 14:12:49,894 - INFO - Epoch:[121/350] Step:[70/75] reconstruction_loss: 0.59 contra_loss: 2.83 contra_loss_cluster: 1.65
2024-12-13 14:12:51,767 - INFO - now the learning rate is: 0.00036915664072717687
2024-12-13 14:12:52,101 - INFO - begin training stage: [122/350]
2024-12-13 14:12:58,405 - INFO - Epoch:[122/350] Step:[10/75] reconstruction_loss: 0.59 contra_loss: 2.81 contra_loss_cluster: 1.70
2024-12-13 14:13:00,972 - INFO - Epoch:[122/350] Step:[20/75] reconstruction_loss: 0.62 contra_loss: 2.84 contra_loss_cluster: 1.63
2024-12-13 14:13:02,329 - INFO - Epoch:[122/350] Step:[30/75] reconstruction_loss: 0.59 contra_loss: 2.83 contra_loss_cluster: 1.72
2024-12-13 14:13:03,665 - INFO - Epoch:[122/350] Step:[40/75] reconstruction_loss: 0.62 contra_loss: 2.82 contra_loss_cluster: 1.81
2024-12-13 14:13:05,003 - INFO - Epoch:[122/350] Step:[50/75] reconstruction_loss: 0.62 contra_loss: 2.86 contra_loss_cluster: 1.61
2024-12-13 14:13:07,118 - INFO - Epoch:[122/350] Step:[60/75] reconstruction_loss: 0.62 contra_loss: 2.83 contra_loss_cluster: 1.65
2024-12-13 14:13:09,718 - INFO - Epoch:[122/350] Step:[70/75] reconstruction_loss: 0.61 contra_loss: 2.83 contra_loss_cluster: 1.73
2024-12-13 14:13:11,628 - INFO - now the learning rate is: 0.00036720626181525136
2024-12-13 14:13:11,956 - INFO - begin training stage: [123/350]
2024-12-13 14:13:17,955 - INFO - Epoch:[123/350] Step:[10/75] reconstruction_loss: 0.60 contra_loss: 2.81 contra_loss_cluster: 1.70
2024-12-13 14:13:19,294 - INFO - Epoch:[123/350] Step:[20/75] reconstruction_loss: 0.59 contra_loss: 2.83 contra_loss_cluster: 1.62
2024-12-13 14:13:20,632 - INFO - Epoch:[123/350] Step:[30/75] reconstruction_loss: 0.60 contra_loss: 2.86 contra_loss_cluster: 1.70
2024-12-13 14:13:22,129 - INFO - Epoch:[123/350] Step:[40/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 1.64
2024-12-13 14:13:24,674 - INFO - Epoch:[123/350] Step:[50/75] reconstruction_loss: 0.59 contra_loss: 2.85 contra_loss_cluster: 1.56
2024-12-13 14:13:27,212 - INFO - Epoch:[123/350] Step:[60/75] reconstruction_loss: 0.61 contra_loss: 2.84 contra_loss_cluster: 1.73
2024-12-13 14:13:29,755 - INFO - Epoch:[123/350] Step:[70/75] reconstruction_loss: 0.60 contra_loss: 2.82 contra_loss_cluster: 1.68
2024-12-13 14:13:31,729 - INFO - now the learning rate is: 0.0003652468427075695
2024-12-13 14:13:32,055 - INFO - begin training stage: [124/350]
2024-12-13 14:13:37,463 - INFO - Epoch:[124/350] Step:[10/75] reconstruction_loss: 0.59 contra_loss: 2.82 contra_loss_cluster: 1.58
2024-12-13 14:13:38,816 - INFO - Epoch:[124/350] Step:[20/75] reconstruction_loss: 0.63 contra_loss: 2.84 contra_loss_cluster: 1.67
2024-12-13 14:13:40,157 - INFO - Epoch:[124/350] Step:[30/75] reconstruction_loss: 0.60 contra_loss: 2.90 contra_loss_cluster: 1.52
2024-12-13 14:13:41,914 - INFO - Epoch:[124/350] Step:[40/75] reconstruction_loss: 0.62 contra_loss: 2.84 contra_loss_cluster: 1.71
2024-12-13 14:13:44,440 - INFO - Epoch:[124/350] Step:[50/75] reconstruction_loss: 0.61 contra_loss: 2.82 contra_loss_cluster: 1.71
2024-12-13 14:13:46,979 - INFO - Epoch:[124/350] Step:[60/75] reconstruction_loss: 0.59 contra_loss: 2.84 contra_loss_cluster: 1.60
2024-12-13 14:13:49,517 - INFO - Epoch:[124/350] Step:[70/75] reconstruction_loss: 0.62 contra_loss: 2.83 contra_loss_cluster: 1.58
2024-12-13 14:13:51,467 - INFO - now the learning rate is: 0.0003632785412699404
2024-12-13 14:13:51,784 - INFO - begin training stage: [125/350]
2024-12-13 14:13:57,248 - INFO - Epoch:[125/350] Step:[10/75] reconstruction_loss: 0.61 contra_loss: 2.86 contra_loss_cluster: 1.52
2024-12-13 14:13:58,584 - INFO - Epoch:[125/350] Step:[20/75] reconstruction_loss: 0.61 contra_loss: 2.85 contra_loss_cluster: 1.56
2024-12-13 14:13:59,963 - INFO - Epoch:[125/350] Step:[30/75] reconstruction_loss: 0.61 contra_loss: 2.83 contra_loss_cluster: 1.67
2024-12-13 14:14:02,516 - INFO - Epoch:[125/350] Step:[40/75] reconstruction_loss: 0.63 contra_loss: 2.85 contra_loss_cluster: 1.52
2024-12-13 14:14:05,055 - INFO - Epoch:[125/350] Step:[50/75] reconstruction_loss: 0.60 contra_loss: 2.83 contra_loss_cluster: 1.73
2024-12-13 14:14:07,598 - INFO - Epoch:[125/350] Step:[60/75] reconstruction_loss: 0.59 contra_loss: 2.85 contra_loss_cluster: 1.64
2024-12-13 14:14:10,140 - INFO - Epoch:[125/350] Step:[70/75] reconstruction_loss: 0.60 contra_loss: 2.85 contra_loss_cluster: 1.64
2024-12-13 14:14:12,042 - INFO - now the learning rate is: 0.0003613015160838015
2024-12-13 14:14:12,383 - INFO - begin training stage: [126/350]
2024-12-13 14:14:17,687 - INFO - Epoch:[126/350] Step:[10/75] reconstruction_loss: 0.62 contra_loss: 2.88 contra_loss_cluster: 1.75
2024-12-13 14:14:19,048 - INFO - Epoch:[126/350] Step:[20/75] reconstruction_loss: 0.61 contra_loss: 2.80 contra_loss_cluster: 1.61
2024-12-13 14:14:21,119 - INFO - Epoch:[126/350] Step:[30/75] reconstruction_loss: 0.58 contra_loss: 2.84 contra_loss_cluster: 1.65
2024-12-13 14:14:23,647 - INFO - Epoch:[126/350] Step:[40/75] reconstruction_loss: 0.60 contra_loss: 2.83 contra_loss_cluster: 1.59
2024-12-13 14:14:26,176 - INFO - Epoch:[126/350] Step:[50/75] reconstruction_loss: 0.58 contra_loss: 2.84 contra_loss_cluster: 1.58
2024-12-13 14:14:28,704 - INFO - Epoch:[126/350] Step:[60/75] reconstruction_loss: 0.61 contra_loss: 2.86 contra_loss_cluster: 1.73
2024-12-13 14:14:31,240 - INFO - Epoch:[126/350] Step:[70/75] reconstruction_loss: 0.61 contra_loss: 2.83 contra_loss_cluster: 1.53
2024-12-13 14:14:33,074 - INFO - now the learning rate is: 0.00035931592643344257
2024-12-13 14:14:33,427 - INFO - begin training stage: [127/350]
2024-12-13 14:14:38,707 - INFO - Epoch:[127/350] Step:[10/75] reconstruction_loss: 0.63 contra_loss: 2.88 contra_loss_cluster: 1.68
2024-12-13 14:14:40,049 - INFO - Epoch:[127/350] Step:[20/75] reconstruction_loss: 0.58 contra_loss: 2.83 contra_loss_cluster: 1.51
2024-12-13 14:14:42,406 - INFO - Epoch:[127/350] Step:[30/75] reconstruction_loss: 0.60 contra_loss: 2.85 contra_loss_cluster: 1.58
2024-12-13 14:14:44,942 - INFO - Epoch:[127/350] Step:[40/75] reconstruction_loss: 0.61 contra_loss: 2.84 contra_loss_cluster: 1.66
2024-12-13 14:14:47,487 - INFO - Epoch:[127/350] Step:[50/75] reconstruction_loss: 0.61 contra_loss: 2.83 contra_loss_cluster: 1.61
2024-12-13 14:14:50,025 - INFO - Epoch:[127/350] Step:[60/75] reconstruction_loss: 0.62 contra_loss: 2.83 contra_loss_cluster: 1.52
2024-12-13 14:14:52,561 - INFO - Epoch:[127/350] Step:[70/75] reconstruction_loss: 0.59 contra_loss: 2.83 contra_loss_cluster: 1.63
2024-12-13 14:14:54,369 - INFO - now the learning rate is: 0.0003573219322931719
2024-12-13 14:14:54,724 - INFO - begin training stage: [128/350]
2024-12-13 14:14:59,989 - INFO - Epoch:[128/350] Step:[10/75] reconstruction_loss: 0.61 contra_loss: 2.85 contra_loss_cluster: 1.66
2024-12-13 14:15:01,877 - INFO - Epoch:[128/350] Step:[20/75] reconstruction_loss: 0.59 contra_loss: 2.84 contra_loss_cluster: 1.58
2024-12-13 14:15:04,415 - INFO - Epoch:[128/350] Step:[30/75] reconstruction_loss: 0.62 contra_loss: 2.85 contra_loss_cluster: 1.63
2024-12-13 14:15:06,947 - INFO - Epoch:[128/350] Step:[40/75] reconstruction_loss: 0.60 contra_loss: 2.82 contra_loss_cluster: 1.51
2024-12-13 14:15:09,482 - INFO - Epoch:[128/350] Step:[50/75] reconstruction_loss: 0.60 contra_loss: 2.85 contra_loss_cluster: 1.66
2024-12-13 14:15:12,015 - INFO - Epoch:[128/350] Step:[60/75] reconstruction_loss: 0.60 contra_loss: 2.86 contra_loss_cluster: 1.58
2024-12-13 14:15:14,544 - INFO - Epoch:[128/350] Step:[70/75] reconstruction_loss: 0.61 contra_loss: 2.84 contra_loss_cluster: 1.63