|
{ |
|
"best_metric": 0.44305220236653187, |
|
"best_model_checkpoint": "InLegalBERT-lora/checkpoint-482", |
|
"epoch": 2.998444790046656, |
|
"eval_steps": 500, |
|
"global_step": 482, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.6553059643687065, |
|
"eval_f1_macro": 0.34196434919671853, |
|
"eval_f1_micro": 0.6553059643687065, |
|
"eval_f1_weighted": 0.6146575775654787, |
|
"eval_loss": 1.2012524604797363, |
|
"eval_macro_fpr": 0.036531607457408626, |
|
"eval_macro_sensitivity": 0.39029268516816945, |
|
"eval_macro_specificity": 0.9740627875145957, |
|
"eval_precision": 0.6007307052856502, |
|
"eval_precision_macro": 0.32788772117271575, |
|
"eval_recall": 0.6553059643687065, |
|
"eval_recall_macro": 0.39029268516816945, |
|
"eval_runtime": 30.3344, |
|
"eval_samples_per_second": 42.559, |
|
"eval_steps_per_second": 5.34, |
|
"eval_weighted_fpr": 0.03621124582960371, |
|
"eval_weighted_sensitivity": 0.6553059643687065, |
|
"eval_weighted_specificity": 0.9556358483502301, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7381874515879163, |
|
"eval_f1_macro": 0.4250111578260666, |
|
"eval_f1_micro": 0.7381874515879164, |
|
"eval_f1_weighted": 0.7236865886821344, |
|
"eval_loss": 0.8278939127922058, |
|
"eval_macro_fpr": 0.024763530819684316, |
|
"eval_macro_sensitivity": 0.46578072689552413, |
|
"eval_macro_specificity": 0.9806295017830671, |
|
"eval_precision": 0.7211273477007717, |
|
"eval_precision_macro": 0.40923635739063985, |
|
"eval_recall": 0.7381874515879163, |
|
"eval_recall_macro": 0.46578072689552413, |
|
"eval_runtime": 34.091, |
|
"eval_samples_per_second": 37.869, |
|
"eval_steps_per_second": 4.752, |
|
"eval_weighted_fpr": 0.024707602339181286, |
|
"eval_weighted_sensitivity": 0.7381874515879163, |
|
"eval_weighted_specificity": 0.9712550751580882, |
|
"step": 321 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.7544539116963594, |
|
"eval_f1_macro": 0.44305220236653187, |
|
"eval_f1_micro": 0.7544539116963594, |
|
"eval_f1_weighted": 0.7304902543811719, |
|
"eval_loss": 0.713018000125885, |
|
"eval_macro_fpr": 0.0233195243156939, |
|
"eval_macro_sensitivity": 0.4769897256873969, |
|
"eval_macro_specificity": 0.9816367201302573, |
|
"eval_precision": 0.7255238407846915, |
|
"eval_precision_macro": 0.4800443784048848, |
|
"eval_recall": 0.7544539116963594, |
|
"eval_recall_macro": 0.4769897256873969, |
|
"eval_runtime": 32.6151, |
|
"eval_samples_per_second": 39.583, |
|
"eval_steps_per_second": 4.967, |
|
"eval_weighted_fpr": 0.02271912850283093, |
|
"eval_weighted_sensitivity": 0.7544539116963594, |
|
"eval_weighted_specificity": 0.9700968902575, |
|
"step": 482 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2400, |
|
"num_train_epochs": 15, |
|
"save_steps": 500, |
|
"total_flos": 4183458652090368.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|