xshubhamx's picture
Upload folder using huggingface_hub
2c76b24 verified
raw
history blame
4.52 kB
{
"best_metric": 0.7392877210524833,
"best_model_checkpoint": "bart-large-lora-no-grad/checkpoint-2572",
"epoch": 4.0,
"eval_steps": 500,
"global_step": 2572,
"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
}
],
"logging_steps": 500,
"max_steps": 9645,
"num_train_epochs": 15,
"save_steps": 500,
"total_flos": 2.288569494461645e+16,
"trial_name": null,
"trial_params": null
}