xshubhamx's picture
Upload folder using huggingface_hub
a039527 verified
raw
history blame
3.07 kB
{
"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
}