cite-text-analysis's picture
Upload folder using huggingface_hub
9cbd60c verified
{
"best_metric": 0.5903876477694423,
"best_model_checkpoint": "case-analysis-legal-bert-base-uncased/checkpoint-896",
"epoch": 4.0,
"eval_steps": 500,
"global_step": 896,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.6570155902004454,
"eval_f1_macro": 0.4081263564022185,
"eval_f1_micro": 0.6570155902004454,
"eval_f1_weighted": 0.6166399839312825,
"eval_loss": 1.0114229917526245,
"eval_macro_fpr": 0.19475132363363487,
"eval_macro_sensitivity": 0.40746667217255456,
"eval_macro_specificity": 0.8324392236563901,
"eval_precision": 0.6178816225558943,
"eval_precision_macro": 0.4664000256488353,
"eval_recall": 0.6570155902004454,
"eval_recall_macro": 0.40746667217255456,
"eval_runtime": 7.3199,
"eval_samples_per_second": 61.34,
"eval_steps_per_second": 7.787,
"eval_weighted_fpr": 0.1482194417709336,
"eval_weighted_sensitivity": 0.6570155902004454,
"eval_weighted_specificity": 0.6727413044251147,
"step": 224
},
{
"epoch": 2.0,
"eval_accuracy": 0.7750556792873051,
"eval_f1_macro": 0.5658663855845003,
"eval_f1_micro": 0.775055679287305,
"eval_f1_weighted": 0.7564492543508543,
"eval_loss": 0.764952540397644,
"eval_macro_fpr": 0.10943701020063132,
"eval_macro_sensitivity": 0.5805958747135218,
"eval_macro_specificity": 0.9039084791647444,
"eval_precision": 0.7425093237919278,
"eval_precision_macro": 0.5566158325717437,
"eval_recall": 0.7750556792873051,
"eval_recall_macro": 0.5805958747135218,
"eval_runtime": 30.7218,
"eval_samples_per_second": 14.615,
"eval_steps_per_second": 1.855,
"eval_weighted_fpr": 0.08820960698689956,
"eval_weighted_sensitivity": 0.7750556792873051,
"eval_weighted_specificity": 0.8405782373716723,
"step": 448
},
{
"epoch": 2.232142857142857,
"grad_norm": 9.53757095336914,
"learning_rate": 4.631696428571429e-05,
"loss": 0.7677,
"step": 500
},
{
"epoch": 3.0,
"eval_accuracy": 0.7817371937639198,
"eval_f1_macro": 0.5707248076329534,
"eval_f1_micro": 0.7817371937639198,
"eval_f1_weighted": 0.7678448816993292,
"eval_loss": 0.7341566681861877,
"eval_macro_fpr": 0.10409605667370833,
"eval_macro_sensitivity": 0.5967117805353099,
"eval_macro_specificity": 0.9083046086144851,
"eval_precision": 0.7694906286035585,
"eval_precision_macro": 0.5673619923602318,
"eval_recall": 0.7817371937639198,
"eval_recall_macro": 0.5967117805353099,
"eval_runtime": 32.9882,
"eval_samples_per_second": 13.611,
"eval_steps_per_second": 1.728,
"eval_weighted_fpr": 0.08514335360556038,
"eval_weighted_sensitivity": 0.7817371937639198,
"eval_weighted_specificity": 0.8514812406940205,
"step": 672
},
{
"epoch": 4.0,
"eval_accuracy": 0.8173719376391982,
"eval_f1_macro": 0.5903876477694423,
"eval_f1_micro": 0.8173719376391981,
"eval_f1_weighted": 0.7920921547144288,
"eval_loss": 0.7967568635940552,
"eval_macro_fpr": 0.09654289346260755,
"eval_macro_sensitivity": 0.5892796922208687,
"eval_macro_specificity": 0.9135512326349768,
"eval_precision": 0.776630887817645,
"eval_precision_macro": 0.6035747039094435,
"eval_recall": 0.8173719376391982,
"eval_recall_macro": 0.5892796922208687,
"eval_runtime": 31.5737,
"eval_samples_per_second": 14.221,
"eval_steps_per_second": 1.805,
"eval_weighted_fpr": 0.06931530008453085,
"eval_weighted_sensitivity": 0.8173719376391982,
"eval_weighted_specificity": 0.836832992900709,
"step": 896
}
],
"logging_steps": 500,
"max_steps": 6720,
"num_input_tokens_seen": 0,
"num_train_epochs": 30,
"save_steps": 500,
"total_flos": 1886013911728128.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}