| [ |
| { |
| "epoch": 1, |
| "train_loss": 32.24958292643229, |
| "train_retrieval_accuracy": 0.8999999761581421, |
| "val_retrieval_accuracy": 0.557692289352417, |
| "val_classification_accuracy": 0.038461538461538464, |
| "learning_rate": 8.181818181818183e-06, |
| "epoch_duration_seconds": 7.25147154199658, |
| "best_val_retrieval_accuracy": 0.557692289352417, |
| "best_epoch": 1, |
| "train_positive_similarity": -0.008140343189653423, |
| "train_hardest_negative_similarity": 0.14806889163123238, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.5576923076923077, |
| "validation/tool/silhouette_score": -0.09406201541423798, |
| "validation/tool/global_near_overlap_rate": 0.7692307692307693 |
| }, |
| { |
| "epoch": 2, |
| "train_loss": 31.299243291219074, |
| "train_retrieval_accuracy": 0.892307698726654, |
| "val_retrieval_accuracy": 0.5769230723381042, |
| "val_classification_accuracy": 0.1346153846153846, |
| "learning_rate": 1.6363636363636366e-05, |
| "epoch_duration_seconds": 0.8365214750010637, |
| "best_val_retrieval_accuracy": 0.5769230723381042, |
| "best_epoch": 2, |
| "train_positive_similarity": 0.006157957431342866, |
| "train_hardest_negative_similarity": 0.15259450674057007, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.5769230769230769, |
| "validation/tool/silhouette_score": -0.08753171563148499, |
| "validation/tool/global_near_overlap_rate": 0.6923076923076923 |
| }, |
| { |
| "epoch": 3, |
| "train_loss": 27.195485009087456, |
| "train_retrieval_accuracy": 0.892307698726654, |
| "val_retrieval_accuracy": 0.6153846383094788, |
| "val_classification_accuracy": 0.19230769230769232, |
| "learning_rate": 1.950738916256158e-05, |
| "epoch_duration_seconds": 1.2710700800016639, |
| "best_val_retrieval_accuracy": 0.6153846383094788, |
| "best_epoch": 3, |
| "train_positive_similarity": 0.07285144738852978, |
| "train_hardest_negative_similarity": 0.16972762842973074, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.6153846153846154, |
| "validation/tool/silhouette_score": -0.07515332102775574, |
| "validation/tool/global_near_overlap_rate": 0.6153846153846154 |
| }, |
| { |
| "epoch": 4, |
| "train_loss": 23.95541869269477, |
| "train_retrieval_accuracy": 0.8884615302085876, |
| "val_retrieval_accuracy": 0.6538461446762085, |
| "val_classification_accuracy": 0.3269230769230769, |
| "learning_rate": 1.8620689655172415e-05, |
| "epoch_duration_seconds": 0.8380400640016887, |
| "best_val_retrieval_accuracy": 0.6538461446762085, |
| "best_epoch": 4, |
| "train_positive_similarity": 0.13070478538672128, |
| "train_hardest_negative_similarity": 0.19686372247007158, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.6538461538461539, |
| "validation/tool/silhouette_score": -0.05699077993631363, |
| "validation/tool/global_near_overlap_rate": 0.6153846153846154 |
| }, |
| { |
| "epoch": 5, |
| "train_loss": 20.624296612209744, |
| "train_retrieval_accuracy": 0.9038461446762085, |
| "val_retrieval_accuracy": 0.6730769276618958, |
| "val_classification_accuracy": 0.46153846153846156, |
| "learning_rate": 1.7733990147783254e-05, |
| "epoch_duration_seconds": 0.802038021000044, |
| "best_val_retrieval_accuracy": 0.6730769276618958, |
| "best_epoch": 5, |
| "train_positive_similarity": 0.1953660034471088, |
| "train_hardest_negative_similarity": 0.22316971752378675, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.6730769230769231, |
| "validation/tool/silhouette_score": -0.024505436420440674, |
| "validation/tool/global_near_overlap_rate": 0.5 |
| }, |
| { |
| "epoch": 6, |
| "train_loss": 18.114519755045574, |
| "train_retrieval_accuracy": 0.9307692050933838, |
| "val_retrieval_accuracy": 0.7115384340286255, |
| "val_classification_accuracy": 0.5576923076923077, |
| "learning_rate": 1.684729064039409e-05, |
| "epoch_duration_seconds": 0.784039019003103, |
| "best_val_retrieval_accuracy": 0.7115384340286255, |
| "best_epoch": 6, |
| "train_positive_similarity": 0.2478426711426841, |
| "train_hardest_negative_similarity": 0.240075945854187, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.7115384615384616, |
| "validation/tool/silhouette_score": 0.006490225438028574, |
| "validation/tool/global_near_overlap_rate": 0.5192307692307693 |
| }, |
| { |
| "epoch": 7, |
| "train_loss": 15.607782257927788, |
| "train_retrieval_accuracy": 0.9346153736114502, |
| "val_retrieval_accuracy": 0.692307710647583, |
| "val_classification_accuracy": 0.6153846153846154, |
| "learning_rate": 1.5960591133004928e-05, |
| "epoch_duration_seconds": 0.7838252669971553, |
| "best_val_retrieval_accuracy": 0.7115384340286255, |
| "best_epoch": 6, |
| "train_positive_similarity": 0.3042520052856869, |
| "train_hardest_negative_similarity": 0.2507115768061744, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.6923076923076923, |
| "validation/tool/silhouette_score": 0.022618819028139114, |
| "validation/tool/global_near_overlap_rate": 0.46153846153846156 |
| }, |
| { |
| "epoch": 8, |
| "train_loss": 14.33437008327908, |
| "train_retrieval_accuracy": 0.949999988079071, |
| "val_retrieval_accuracy": 0.692307710647583, |
| "val_classification_accuracy": 0.6153846153846154, |
| "learning_rate": 1.5073891625615764e-05, |
| "epoch_duration_seconds": 0.8408596230001422, |
| "best_val_retrieval_accuracy": 0.7115384340286255, |
| "best_epoch": 6, |
| "train_positive_similarity": 0.33474575148688424, |
| "train_hardest_negative_similarity": 0.25496600402726066, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.6923076923076923, |
| "validation/tool/silhouette_score": 0.03818061202764511, |
| "validation/tool/global_near_overlap_rate": 0.40384615384615385 |
| }, |
| { |
| "epoch": 9, |
| "train_loss": 12.963972515530056, |
| "train_retrieval_accuracy": 0.9576923251152039, |
| "val_retrieval_accuracy": 0.6730769276618958, |
| "val_classification_accuracy": 0.6346153846153846, |
| "learning_rate": 1.4187192118226602e-05, |
| "epoch_duration_seconds": 1.4351679680039524, |
| "best_val_retrieval_accuracy": 0.7115384340286255, |
| "best_epoch": 6, |
| "train_positive_similarity": 0.36772305104467606, |
| "train_hardest_negative_similarity": 0.26173041926489937, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.6730769230769231, |
| "validation/tool/silhouette_score": 0.0461309552192688, |
| "validation/tool/global_near_overlap_rate": 0.46153846153846156 |
| }, |
| { |
| "epoch": 10, |
| "train_loss": 11.755007637871635, |
| "train_retrieval_accuracy": 0.9653846025466919, |
| "val_retrieval_accuracy": 0.692307710647583, |
| "val_classification_accuracy": 0.6730769230769231, |
| "learning_rate": 1.330049261083744e-05, |
| "epoch_duration_seconds": 0.7887339389999397, |
| "best_val_retrieval_accuracy": 0.7115384340286255, |
| "best_epoch": 6, |
| "train_positive_similarity": 0.3993835647900899, |
| "train_hardest_negative_similarity": 0.2680071145296097, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.6923076923076923, |
| "validation/tool/silhouette_score": 0.05783830210566521, |
| "validation/tool/global_near_overlap_rate": 0.4230769230769231 |
| }, |
| { |
| "epoch": 11, |
| "train_loss": 10.435554716322157, |
| "train_retrieval_accuracy": 0.9692307710647583, |
| "val_retrieval_accuracy": 0.7307692170143127, |
| "val_classification_accuracy": 0.6538461538461539, |
| "learning_rate": 1.2413793103448277e-05, |
| "epoch_duration_seconds": 0.7822324160006247, |
| "best_val_retrieval_accuracy": 0.7307692170143127, |
| "best_epoch": 11, |
| "train_positive_similarity": 0.434697194231881, |
| "train_hardest_negative_similarity": 0.2610563370916579, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.7307692307692307, |
| "validation/tool/silhouette_score": 0.07075190544128418, |
| "validation/tool/global_near_overlap_rate": 0.38461538461538464 |
| }, |
| { |
| "epoch": 12, |
| "train_loss": 9.616492483350966, |
| "train_retrieval_accuracy": 0.9692307710647583, |
| "val_retrieval_accuracy": 0.7307692170143127, |
| "val_classification_accuracy": 0.6730769230769231, |
| "learning_rate": 1.1527093596059114e-05, |
| "epoch_duration_seconds": 0.8108877220001887, |
| "best_val_retrieval_accuracy": 0.7307692170143127, |
| "best_epoch": 11, |
| "train_positive_similarity": 0.4571180476082696, |
| "train_hardest_negative_similarity": 0.26437522802088, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.7307692307692307, |
| "validation/tool/silhouette_score": 0.08471334725618362, |
| "validation/tool/global_near_overlap_rate": 0.36538461538461536 |
| }, |
| { |
| "epoch": 13, |
| "train_loss": 9.429939058091906, |
| "train_retrieval_accuracy": 0.9769230484962463, |
| "val_retrieval_accuracy": 0.75, |
| "val_classification_accuracy": 0.7307692307692307, |
| "learning_rate": 1.0640394088669953e-05, |
| "epoch_duration_seconds": 0.7847257219982566, |
| "best_val_retrieval_accuracy": 0.75, |
| "best_epoch": 13, |
| "train_positive_similarity": 0.46338504883978104, |
| "train_hardest_negative_similarity": 0.26521843671798706, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.75, |
| "validation/tool/silhouette_score": 0.09956526756286621, |
| "validation/tool/global_near_overlap_rate": 0.38461538461538464 |
| }, |
| { |
| "epoch": 14, |
| "train_loss": 8.585641649034288, |
| "train_retrieval_accuracy": 0.9807692170143127, |
| "val_retrieval_accuracy": 0.7307692170143127, |
| "val_classification_accuracy": 0.7115384615384616, |
| "learning_rate": 9.75369458128079e-06, |
| "epoch_duration_seconds": 1.366108483998687, |
| "best_val_retrieval_accuracy": 0.75, |
| "best_epoch": 13, |
| "train_positive_similarity": 0.4899480144182841, |
| "train_hardest_negative_similarity": 0.26473138398594326, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.7307692307692307, |
| "validation/tool/silhouette_score": 0.1098727434873581, |
| "validation/tool/global_near_overlap_rate": 0.34615384615384615 |
| }, |
| { |
| "epoch": 15, |
| "train_loss": 8.184400717417398, |
| "train_retrieval_accuracy": 0.9846153855323792, |
| "val_retrieval_accuracy": 0.7307692170143127, |
| "val_classification_accuracy": 0.7692307692307693, |
| "learning_rate": 8.866995073891627e-06, |
| "epoch_duration_seconds": 0.786814744998992, |
| "best_val_retrieval_accuracy": 0.75, |
| "best_epoch": 13, |
| "train_positive_similarity": 0.5001395841439565, |
| "train_hardest_negative_similarity": 0.2610101070668962, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.7307692307692307, |
| "validation/tool/silhouette_score": 0.1176791712641716, |
| "validation/tool/global_near_overlap_rate": 0.3269230769230769 |
| }, |
| { |
| "epoch": 16, |
| "train_loss": 7.346109337276882, |
| "train_retrieval_accuracy": 0.9846153855323792, |
| "val_retrieval_accuracy": 0.7307692170143127, |
| "val_classification_accuracy": 0.7692307692307693, |
| "learning_rate": 7.980295566502464e-06, |
| "epoch_duration_seconds": 0.7892634560048464, |
| "best_val_retrieval_accuracy": 0.75, |
| "best_epoch": 13, |
| "train_positive_similarity": 0.5255707833502028, |
| "train_hardest_negative_similarity": 0.25387903054555255, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.7307692307692307, |
| "validation/tool/silhouette_score": 0.12555794417858124, |
| "validation/tool/global_near_overlap_rate": 0.3269230769230769 |
| }, |
| { |
| "epoch": 17, |
| "train_loss": 7.150359630584717, |
| "train_retrieval_accuracy": 0.9846153855323792, |
| "val_retrieval_accuracy": 0.7692307829856873, |
| "val_classification_accuracy": 0.7692307692307693, |
| "learning_rate": 7.093596059113301e-06, |
| "epoch_duration_seconds": 0.8035500910045812, |
| "best_val_retrieval_accuracy": 0.7692307829856873, |
| "best_epoch": 17, |
| "train_positive_similarity": 0.5322053763601515, |
| "train_hardest_negative_similarity": 0.2552790211306678, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.7692307692307693, |
| "validation/tool/silhouette_score": 0.13157251477241516, |
| "validation/tool/global_near_overlap_rate": 0.3269230769230769 |
| }, |
| { |
| "epoch": 18, |
| "train_loss": 6.765283902486165, |
| "train_retrieval_accuracy": 0.9884615540504456, |
| "val_retrieval_accuracy": 0.7692307829856873, |
| "val_classification_accuracy": 0.7692307692307693, |
| "learning_rate": 6.206896551724138e-06, |
| "epoch_duration_seconds": 0.7874714240024332, |
| "best_val_retrieval_accuracy": 0.7692307829856873, |
| "best_epoch": 17, |
| "train_positive_similarity": 0.5468692514631484, |
| "train_hardest_negative_similarity": 0.25444265206654865, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.7692307692307693, |
| "validation/tool/silhouette_score": 0.13716791570186615, |
| "validation/tool/global_near_overlap_rate": 0.34615384615384615 |
| }, |
| { |
| "epoch": 19, |
| "train_loss": 6.595413737826878, |
| "train_retrieval_accuracy": 0.9884615540504456, |
| "val_retrieval_accuracy": 0.7884615659713745, |
| "val_classification_accuracy": 0.7692307692307693, |
| "learning_rate": 5.320197044334976e-06, |
| "epoch_duration_seconds": 0.782892962997721, |
| "best_val_retrieval_accuracy": 0.7884615659713745, |
| "best_epoch": 19, |
| "train_positive_similarity": 0.5521766245365143, |
| "train_hardest_negative_similarity": 0.2550821834140354, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.7884615384615384, |
| "validation/tool/silhouette_score": 0.14202880859375, |
| "validation/tool/global_near_overlap_rate": 0.3269230769230769 |
| }, |
| { |
| "epoch": 20, |
| "train_loss": 6.3242597579956055, |
| "train_retrieval_accuracy": 0.9884615540504456, |
| "val_retrieval_accuracy": 0.7884615659713745, |
| "val_classification_accuracy": 0.7884615384615384, |
| "learning_rate": 4.4334975369458135e-06, |
| "epoch_duration_seconds": 1.3744114180008182, |
| "best_val_retrieval_accuracy": 0.7884615659713745, |
| "best_epoch": 19, |
| "train_positive_similarity": 0.559008346663581, |
| "train_hardest_negative_similarity": 0.24954371982150608, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.7884615384615384, |
| "validation/tool/silhouette_score": 0.14832787215709686, |
| "validation/tool/global_near_overlap_rate": 0.28846153846153844 |
| }, |
| { |
| "epoch": 21, |
| "train_loss": 6.058944384256999, |
| "train_retrieval_accuracy": 0.9961538314819336, |
| "val_retrieval_accuracy": 0.7692307829856873, |
| "val_classification_accuracy": 0.7884615384615384, |
| "learning_rate": 3.5467980295566506e-06, |
| "epoch_duration_seconds": 0.807307196999318, |
| "best_val_retrieval_accuracy": 0.7884615659713745, |
| "best_epoch": 19, |
| "train_positive_similarity": 0.5684333046277364, |
| "train_hardest_negative_similarity": 0.2501051591502296, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.7692307692307693, |
| "validation/tool/silhouette_score": 0.15311382710933685, |
| "validation/tool/global_near_overlap_rate": 0.28846153846153844 |
| }, |
| { |
| "epoch": 22, |
| "train_loss": 6.121672206454807, |
| "train_retrieval_accuracy": 0.9961538314819336, |
| "val_retrieval_accuracy": 0.7884615659713745, |
| "val_classification_accuracy": 0.7884615384615384, |
| "learning_rate": 2.660098522167488e-06, |
| "epoch_duration_seconds": 0.7922797450009966, |
| "best_val_retrieval_accuracy": 0.7884615659713745, |
| "best_epoch": 19, |
| "train_positive_similarity": 0.5705493953492906, |
| "train_hardest_negative_similarity": 0.2483866744571262, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.7884615384615384, |
| "validation/tool/silhouette_score": 0.15473780035972595, |
| "validation/tool/global_near_overlap_rate": 0.28846153846153844 |
| }, |
| { |
| "epoch": 23, |
| "train_loss": 5.5807480282253685, |
| "train_retrieval_accuracy": 0.9961538314819336, |
| "val_retrieval_accuracy": 0.807692289352417, |
| "val_classification_accuracy": 0.7884615384615384, |
| "learning_rate": 1.7733990147783253e-06, |
| "epoch_duration_seconds": 0.7943910989997676, |
| "best_val_retrieval_accuracy": 0.807692289352417, |
| "best_epoch": 23, |
| "train_positive_similarity": 0.587417291270362, |
| "train_hardest_negative_similarity": 0.2492527978287803, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.8076923076923077, |
| "validation/tool/silhouette_score": 0.15593361854553223, |
| "validation/tool/global_near_overlap_rate": 0.28846153846153844 |
| }, |
| { |
| "epoch": 24, |
| "train_loss": 5.805425961812337, |
| "train_retrieval_accuracy": 0.9961538314819336, |
| "val_retrieval_accuracy": 0.807692289352417, |
| "val_classification_accuracy": 0.7884615384615384, |
| "learning_rate": 8.866995073891626e-07, |
| "epoch_duration_seconds": 0.7670954849963891, |
| "best_val_retrieval_accuracy": 0.807692289352417, |
| "best_epoch": 23, |
| "train_positive_similarity": 0.5792025923728943, |
| "train_hardest_negative_similarity": 0.2491710748937395, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.8076923076923077, |
| "validation/tool/silhouette_score": 0.15723563730716705, |
| "validation/tool/global_near_overlap_rate": 0.28846153846153844 |
| }, |
| { |
| "epoch": 25, |
| "train_loss": 5.6635194354587135, |
| "train_retrieval_accuracy": 0.9961538314819336, |
| "val_retrieval_accuracy": 0.807692289352417, |
| "val_classification_accuracy": 0.7884615384615384, |
| "learning_rate": 0.0, |
| "epoch_duration_seconds": 1.3674744999952964, |
| "best_val_retrieval_accuracy": 0.807692289352417, |
| "best_epoch": 23, |
| "train_positive_similarity": 0.5841819180382622, |
| "train_hardest_negative_similarity": 0.2503946257962121, |
| "validation/tool/diagnostic_sample_size": 52, |
| "validation/tool/label_count": 26, |
| "validation/tool/subset_retrieval_accuracy": 0.8076923076923077, |
| "validation/tool/silhouette_score": 0.15774628520011902, |
| "validation/tool/global_near_overlap_rate": 0.28846153846153844 |
| } |
| ] |
