| { | |
| "best_metric": 0.7882567275864875, | |
| "best_model_checkpoint": "bart-large-lora-no-grad/checkpoint-4501", | |
| "epoch": 7.0, | |
| "eval_steps": 500, | |
| "global_step": 4501, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.78, | |
| "learning_rate": 4.740798341109383e-05, | |
| "loss": 1.3548, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7567776917118513, | |
| "eval_f1_macro": 0.43635159996281114, | |
| "eval_f1_micro": 0.7567776917118513, | |
| "eval_f1_weighted": 0.735942387508421, | |
| "eval_loss": 0.7811183333396912, | |
| "eval_macro_fpr": 0.023397002359423266, | |
| "eval_macro_sensitivity": 0.4733929701344221, | |
| "eval_macro_specificity": 0.98166320866911, | |
| "eval_precision": 0.7272429944970519, | |
| "eval_precision_macro": 0.4205947342353388, | |
| "eval_recall": 0.7567776917118513, | |
| "eval_recall_macro": 0.4733929701344221, | |
| "eval_runtime": 124.629, | |
| "eval_samples_per_second": 10.359, | |
| "eval_steps_per_second": 1.3, | |
| "eval_weighted_fpr": 0.022441395082904516, | |
| "eval_weighted_sensitivity": 0.7567776917118513, | |
| "eval_weighted_specificity": 0.9681704383248004, | |
| "step": 643 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "learning_rate": 4.481596682218767e-05, | |
| "loss": 0.7738, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7893106119287374, | |
| "eval_f1_macro": 0.561796090533545, | |
| "eval_f1_micro": 0.7893106119287374, | |
| "eval_f1_weighted": 0.7783408570207113, | |
| "eval_loss": 0.657169759273529, | |
| "eval_macro_fpr": 0.019577279999420293, | |
| "eval_macro_sensitivity": 0.5639220943833532, | |
| "eval_macro_specificity": 0.9841641947022086, | |
| "eval_precision": 0.7847538302510335, | |
| "eval_precision_macro": 0.652919812505265, | |
| "eval_recall": 0.7893106119287374, | |
| "eval_recall_macro": 0.5639220943833532, | |
| "eval_runtime": 120.3505, | |
| "eval_samples_per_second": 10.727, | |
| "eval_steps_per_second": 1.346, | |
| "eval_weighted_fpr": 0.018709588664190396, | |
| "eval_weighted_sensitivity": 0.7893106119287374, | |
| "eval_weighted_specificity": 0.9731523086043933, | |
| "step": 1286 | |
| }, | |
| { | |
| "epoch": 2.33, | |
| "learning_rate": 4.22239502332815e-05, | |
| "loss": 0.6874, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8009295120061968, | |
| "eval_f1_macro": 0.6248193338597906, | |
| "eval_f1_micro": 0.8009295120061968, | |
| "eval_f1_weighted": 0.7948048170690496, | |
| "eval_loss": 0.6484545469284058, | |
| "eval_macro_fpr": 0.01794652035398996, | |
| "eval_macro_sensitivity": 0.6498133528886191, | |
| "eval_macro_specificity": 0.985178423920643, | |
| "eval_precision": 0.7993513486718621, | |
| "eval_precision_macro": 0.622395994467453, | |
| "eval_recall": 0.8009295120061968, | |
| "eval_recall_macro": 0.6498133528886191, | |
| "eval_runtime": 122.1243, | |
| "eval_samples_per_second": 10.571, | |
| "eval_steps_per_second": 1.327, | |
| "eval_weighted_fpr": 0.017443833570895267, | |
| "eval_weighted_sensitivity": 0.8009295120061968, | |
| "eval_weighted_specificity": 0.9767468468034478, | |
| "step": 1929 | |
| }, | |
| { | |
| "epoch": 3.11, | |
| "learning_rate": 3.963193364437533e-05, | |
| "loss": 0.5681, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 3.89, | |
| "learning_rate": 3.7039917055469156e-05, | |
| "loss": 0.502, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.82571649883811, | |
| "eval_f1_macro": 0.7392877210524833, | |
| "eval_f1_micro": 0.82571649883811, | |
| "eval_f1_weighted": 0.818185291800718, | |
| "eval_loss": 0.6912310123443604, | |
| "eval_macro_fpr": 0.015790725498781473, | |
| "eval_macro_sensitivity": 0.73988416100595, | |
| "eval_macro_specificity": 0.9866316247243733, | |
| "eval_precision": 0.8216256605414862, | |
| "eval_precision_macro": 0.7660625024843042, | |
| "eval_recall": 0.82571649883811, | |
| "eval_recall_macro": 0.73988416100595, | |
| "eval_runtime": 122.0618, | |
| "eval_samples_per_second": 10.577, | |
| "eval_steps_per_second": 1.327, | |
| "eval_weighted_fpr": 0.01485246550927454, | |
| "eval_weighted_sensitivity": 0.82571649883811, | |
| "eval_weighted_specificity": 0.9737578720274908, | |
| "step": 2572 | |
| }, | |
| { | |
| "epoch": 4.67, | |
| "learning_rate": 3.4447900466562985e-05, | |
| "loss": 0.4443, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8350116189000775, | |
| "eval_f1_macro": 0.7352088783341215, | |
| "eval_f1_micro": 0.8350116189000775, | |
| "eval_f1_weighted": 0.8307677449867239, | |
| "eval_loss": 0.6655119061470032, | |
| "eval_macro_fpr": 0.014583446099727526, | |
| "eval_macro_sensitivity": 0.7343745083798942, | |
| "eval_macro_specificity": 0.9875414771562052, | |
| "eval_precision": 0.8323934212037492, | |
| "eval_precision_macro": 0.758378992160777, | |
| "eval_recall": 0.8350116189000775, | |
| "eval_recall_macro": 0.7343745083798942, | |
| "eval_runtime": 120.1795, | |
| "eval_samples_per_second": 10.742, | |
| "eval_steps_per_second": 1.348, | |
| "eval_weighted_fpr": 0.01391702058150931, | |
| "eval_weighted_sensitivity": 0.8350116189000775, | |
| "eval_weighted_specificity": 0.9781105384430038, | |
| "step": 3215 | |
| }, | |
| { | |
| "epoch": 5.44, | |
| "learning_rate": 3.1855883877656815e-05, | |
| "loss": 0.3903, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8303640588690937, | |
| "eval_f1_macro": 0.736263969384508, | |
| "eval_f1_micro": 0.8303640588690937, | |
| "eval_f1_weighted": 0.8261070082134288, | |
| "eval_loss": 0.726949155330658, | |
| "eval_macro_fpr": 0.014900057218914428, | |
| "eval_macro_sensitivity": 0.7407242112615964, | |
| "eval_macro_specificity": 0.9872832145506228, | |
| "eval_precision": 0.8287989539787939, | |
| "eval_precision_macro": 0.7499597491218987, | |
| "eval_recall": 0.8303640588690937, | |
| "eval_recall_macro": 0.7407242112615964, | |
| "eval_runtime": 120.7099, | |
| "eval_samples_per_second": 10.695, | |
| "eval_steps_per_second": 1.342, | |
| "eval_weighted_fpr": 0.014382347146516056, | |
| "eval_weighted_sensitivity": 0.8303640588690937, | |
| "eval_weighted_specificity": 0.9788841593902511, | |
| "step": 3858 | |
| }, | |
| { | |
| "epoch": 6.22, | |
| "learning_rate": 2.926386728875065e-05, | |
| "loss": 0.3743, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 2.667185069984448e-05, | |
| "loss": 0.3398, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.8218435321456236, | |
| "eval_f1_macro": 0.7882567275864875, | |
| "eval_f1_micro": 0.8218435321456236, | |
| "eval_f1_weighted": 0.8162748016732313, | |
| "eval_loss": 0.829186737537384, | |
| "eval_macro_fpr": 0.016070845836262844, | |
| "eval_macro_sensitivity": 0.7793235818327271, | |
| "eval_macro_specificity": 0.9864727684547862, | |
| "eval_precision": 0.8263611114608566, | |
| "eval_precision_macro": 0.8274174343984327, | |
| "eval_recall": 0.8218435321456236, | |
| "eval_recall_macro": 0.7793235818327271, | |
| "eval_runtime": 119.848, | |
| "eval_samples_per_second": 10.772, | |
| "eval_steps_per_second": 1.352, | |
| "eval_weighted_fpr": 0.015247944842216919, | |
| "eval_weighted_sensitivity": 0.8218435321456236, | |
| "eval_weighted_specificity": 0.9752479946761673, | |
| "step": 4501 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 9645, | |
| "num_train_epochs": 15, | |
| "save_steps": 500, | |
| "total_flos": 4.004996615307878e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |