| { | |
| "best_metric": 0.08830931037664413, | |
| "best_model_checkpoint": "/home1/datawork/mcontini/models/multilabel/huggingface/dinov2-large-2024_01_14-without_data_aug_batch-size32_epochs20_freeze/checkpoint-5480", | |
| "epoch": 20.0, | |
| "eval_steps": 500, | |
| "global_step": 5480, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.4696441032798325, | |
| "eval_f1_macro": 0.5445473909109761, | |
| "eval_f1_micro": 0.7663056558363417, | |
| "eval_loss": 0.1264539361000061, | |
| "eval_roc_auc": 0.8400878306196953, | |
| "eval_runtime": 1036.6447, | |
| "eval_samples_per_second": 2.765, | |
| "eval_steps_per_second": 0.087, | |
| "learning_rate": 0.001, | |
| "step": 274 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "learning_rate": 0.001, | |
| "loss": 0.2337, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.5115143056524774, | |
| "eval_f1_macro": 0.6503987559811281, | |
| "eval_f1_micro": 0.8025544267053701, | |
| "eval_loss": 0.11075052618980408, | |
| "eval_roc_auc": 0.8693871473003357, | |
| "eval_runtime": 1011.3901, | |
| "eval_samples_per_second": 2.834, | |
| "eval_steps_per_second": 0.089, | |
| "learning_rate": 0.001, | |
| "step": 548 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.5177948360083741, | |
| "eval_f1_macro": 0.6963127404974011, | |
| "eval_f1_micro": 0.8184487821730869, | |
| "eval_loss": 0.1064244732260704, | |
| "eval_roc_auc": 0.88043822362814, | |
| "eval_runtime": 1010.6496, | |
| "eval_samples_per_second": 2.836, | |
| "eval_steps_per_second": 0.089, | |
| "learning_rate": 0.001, | |
| "step": 822 | |
| }, | |
| { | |
| "epoch": 3.65, | |
| "learning_rate": 0.001, | |
| "loss": 0.1259, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.5188415910676901, | |
| "eval_f1_macro": 0.6838420416441195, | |
| "eval_f1_micro": 0.8164364720041263, | |
| "eval_loss": 0.10615076124668121, | |
| "eval_roc_auc": 0.8808295127544562, | |
| "eval_runtime": 1012.7035, | |
| "eval_samples_per_second": 2.83, | |
| "eval_steps_per_second": 0.089, | |
| "learning_rate": 0.001, | |
| "step": 1096 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.4965108164689463, | |
| "eval_f1_macro": 0.6749223162423283, | |
| "eval_f1_micro": 0.8156853881794552, | |
| "eval_loss": 0.10690969228744507, | |
| "eval_roc_auc": 0.8848957723927348, | |
| "eval_runtime": 1011.7793, | |
| "eval_samples_per_second": 2.833, | |
| "eval_steps_per_second": 0.089, | |
| "learning_rate": 0.001, | |
| "step": 1370 | |
| }, | |
| { | |
| "epoch": 5.47, | |
| "learning_rate": 0.001, | |
| "loss": 0.1181, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.5212840195394278, | |
| "eval_f1_macro": 0.6806419028627124, | |
| "eval_f1_micro": 0.82229280970257, | |
| "eval_loss": 0.10277453809976578, | |
| "eval_roc_auc": 0.8815633385282128, | |
| "eval_runtime": 1010.7838, | |
| "eval_samples_per_second": 2.835, | |
| "eval_steps_per_second": 0.089, | |
| "learning_rate": 0.001, | |
| "step": 1644 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.5268667131891137, | |
| "eval_f1_macro": 0.6718237657927368, | |
| "eval_f1_micro": 0.8252749770852429, | |
| "eval_loss": 0.09917270392179489, | |
| "eval_roc_auc": 0.8857388585296528, | |
| "eval_runtime": 1012.914, | |
| "eval_samples_per_second": 2.829, | |
| "eval_steps_per_second": 0.089, | |
| "learning_rate": 0.001, | |
| "step": 1918 | |
| }, | |
| { | |
| "epoch": 7.3, | |
| "learning_rate": 0.001, | |
| "loss": 0.1146, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.5216329378925332, | |
| "eval_f1_macro": 0.6810819602181296, | |
| "eval_f1_micro": 0.8223672809196465, | |
| "eval_loss": 0.10044297575950623, | |
| "eval_roc_auc": 0.8815306397502212, | |
| "eval_runtime": 1019.7188, | |
| "eval_samples_per_second": 2.811, | |
| "eval_steps_per_second": 0.088, | |
| "learning_rate": 0.001, | |
| "step": 2192 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.5230286113049546, | |
| "eval_f1_macro": 0.6845263067090662, | |
| "eval_f1_micro": 0.8302484858776249, | |
| "eval_loss": 0.10188507288694382, | |
| "eval_roc_auc": 0.8923158419824271, | |
| "eval_runtime": 1018.1313, | |
| "eval_samples_per_second": 2.815, | |
| "eval_steps_per_second": 0.088, | |
| "learning_rate": 0.001, | |
| "step": 2466 | |
| }, | |
| { | |
| "epoch": 9.12, | |
| "learning_rate": 0.001, | |
| "loss": 0.1123, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.5279134682484299, | |
| "eval_f1_macro": 0.6775112836458498, | |
| "eval_f1_micro": 0.8181073809802316, | |
| "eval_loss": 0.10208763182163239, | |
| "eval_roc_auc": 0.8754023666126408, | |
| "eval_runtime": 1019.3535, | |
| "eval_samples_per_second": 2.812, | |
| "eval_steps_per_second": 0.088, | |
| "learning_rate": 0.001, | |
| "step": 2740 | |
| }, | |
| { | |
| "epoch": 10.95, | |
| "learning_rate": 0.001, | |
| "loss": 0.11, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.5429169574319609, | |
| "eval_f1_macro": 0.6897433634697611, | |
| "eval_f1_micro": 0.8290004089501665, | |
| "eval_loss": 0.09596865624189377, | |
| "eval_roc_auc": 0.8815259520118676, | |
| "eval_runtime": 1024.4911, | |
| "eval_samples_per_second": 2.797, | |
| "eval_steps_per_second": 0.088, | |
| "learning_rate": 0.001, | |
| "step": 3014 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.537334263782275, | |
| "eval_f1_macro": 0.682540187560418, | |
| "eval_f1_micro": 0.8315506492020821, | |
| "eval_loss": 0.0966910719871521, | |
| "eval_roc_auc": 0.8896335469441946, | |
| "eval_runtime": 1022.2342, | |
| "eval_samples_per_second": 2.804, | |
| "eval_steps_per_second": 0.088, | |
| "learning_rate": 0.001, | |
| "step": 3288 | |
| }, | |
| { | |
| "epoch": 12.77, | |
| "learning_rate": 0.001, | |
| "loss": 0.1098, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.5327983251919051, | |
| "eval_f1_macro": 0.6961160759945566, | |
| "eval_f1_micro": 0.8254151291512914, | |
| "eval_loss": 0.10087021440267563, | |
| "eval_roc_auc": 0.8837691574163886, | |
| "eval_runtime": 1018.0187, | |
| "eval_samples_per_second": 2.815, | |
| "eval_steps_per_second": 0.088, | |
| "learning_rate": 0.001, | |
| "step": 3562 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.5331472435450104, | |
| "eval_f1_macro": 0.7092151646695873, | |
| "eval_f1_micro": 0.8278460468351495, | |
| "eval_loss": 0.09922181814908981, | |
| "eval_roc_auc": 0.8833891332859308, | |
| "eval_runtime": 691.5955, | |
| "eval_samples_per_second": 4.144, | |
| "eval_steps_per_second": 0.13, | |
| "learning_rate": 0.001, | |
| "step": 3836 | |
| }, | |
| { | |
| "epoch": 14.6, | |
| "learning_rate": 0.001, | |
| "loss": 0.1166, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.5334961618981159, | |
| "eval_f1_macro": 0.6923192725695103, | |
| "eval_f1_micro": 0.8229681773227064, | |
| "eval_loss": 0.09913520514965057, | |
| "eval_roc_auc": 0.8796342115933741, | |
| "eval_runtime": 682.6982, | |
| "eval_samples_per_second": 4.198, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.001, | |
| "step": 4110 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.5390788555478018, | |
| "eval_f1_macro": 0.7123997578521556, | |
| "eval_f1_micro": 0.8394566401100476, | |
| "eval_loss": 0.09176727384328842, | |
| "eval_roc_auc": 0.8932457594574617, | |
| "eval_runtime": 684.6393, | |
| "eval_samples_per_second": 4.186, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 0.0001, | |
| "step": 4384 | |
| }, | |
| { | |
| "epoch": 16.42, | |
| "learning_rate": 0.0001, | |
| "loss": 0.1072, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_accuracy": 0.5471039776692254, | |
| "eval_f1_macro": 0.7179397631117517, | |
| "eval_f1_micro": 0.8438971798218237, | |
| "eval_loss": 0.09066394716501236, | |
| "eval_roc_auc": 0.898963054967641, | |
| "eval_runtime": 690.5455, | |
| "eval_samples_per_second": 4.15, | |
| "eval_steps_per_second": 0.13, | |
| "learning_rate": 0.0001, | |
| "step": 4658 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy": 0.5446615491974878, | |
| "eval_f1_macro": 0.7236976914894626, | |
| "eval_f1_micro": 0.8441121068554142, | |
| "eval_loss": 0.08911634236574173, | |
| "eval_roc_auc": 0.8971207593709188, | |
| "eval_runtime": 685.8059, | |
| "eval_samples_per_second": 4.179, | |
| "eval_steps_per_second": 0.131, | |
| "learning_rate": 0.0001, | |
| "step": 4932 | |
| }, | |
| { | |
| "epoch": 18.25, | |
| "learning_rate": 0.0001, | |
| "loss": 0.1017, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_accuracy": 0.5478018143754362, | |
| "eval_f1_macro": 0.727715453888227, | |
| "eval_f1_micro": 0.8479439674649797, | |
| "eval_loss": 0.08924739807844162, | |
| "eval_roc_auc": 0.9027101012597639, | |
| "eval_runtime": 697.8818, | |
| "eval_samples_per_second": 4.107, | |
| "eval_steps_per_second": 0.129, | |
| "learning_rate": 0.0001, | |
| "step": 5206 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.5509420795533845, | |
| "eval_f1_macro": 0.7309632047081221, | |
| "eval_f1_micro": 0.848399617483265, | |
| "eval_loss": 0.08830931037664413, | |
| "eval_roc_auc": 0.9043454872974694, | |
| "eval_runtime": 680.9035, | |
| "eval_samples_per_second": 4.209, | |
| "eval_steps_per_second": 0.132, | |
| "learning_rate": 0.0001, | |
| "step": 5480 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "learning_rate": 0.0001, | |
| "step": 5480, | |
| "total_flos": 2.5999409342512156e+20, | |
| "train_loss": 0.03709733433967089, | |
| "train_runtime": 20246.0375, | |
| "train_samples_per_second": 8.66, | |
| "train_steps_per_second": 0.271 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 5480, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 20, | |
| "save_steps": 500, | |
| "total_flos": 2.5999409342512156e+20, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |