xshubhamx's picture
Upload folder using huggingface_hub
46553d2 verified
{
"best_metric": 0.7882567275864875,
"best_model_checkpoint": "bart-large-lora-no-grad/checkpoint-4501",
"epoch": 9.0,
"eval_steps": 500,
"global_step": 5787,
"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
},
{
"epoch": 7.78,
"learning_rate": 2.4079834110938313e-05,
"loss": 0.2818,
"step": 5000
},
{
"epoch": 8.0,
"eval_accuracy": 0.8218435321456236,
"eval_f1_macro": 0.7744326737338487,
"eval_f1_micro": 0.8218435321456236,
"eval_f1_weighted": 0.8177676452978514,
"eval_loss": 0.8360002636909485,
"eval_macro_fpr": 0.01589244410642333,
"eval_macro_sensitivity": 0.7683164398564319,
"eval_macro_specificity": 0.9865675690380454,
"eval_precision": 0.8240487291965984,
"eval_precision_macro": 0.825060922986609,
"eval_recall": 0.8218435321456236,
"eval_recall_macro": 0.7683164398564319,
"eval_runtime": 123.4163,
"eval_samples_per_second": 10.461,
"eval_steps_per_second": 1.313,
"eval_weighted_fpr": 0.015247944842216919,
"eval_weighted_sensitivity": 0.8218435321456236,
"eval_weighted_specificity": 0.9766700034250598,
"step": 5144
},
{
"epoch": 8.55,
"learning_rate": 2.1487817522032143e-05,
"loss": 0.2572,
"step": 5500
},
{
"epoch": 9.0,
"eval_accuracy": 0.8342370255615802,
"eval_f1_macro": 0.7768090432684004,
"eval_f1_micro": 0.8342370255615802,
"eval_f1_weighted": 0.8310260455971183,
"eval_loss": 0.8456389307975769,
"eval_macro_fpr": 0.01456791962898876,
"eval_macro_sensitivity": 0.7734627441481091,
"eval_macro_specificity": 0.9875312890043432,
"eval_precision": 0.8327945369398388,
"eval_precision_macro": 0.7998951264485316,
"eval_recall": 0.8342370255615802,
"eval_recall_macro": 0.7734627441481091,
"eval_runtime": 120.0533,
"eval_samples_per_second": 10.754,
"eval_steps_per_second": 1.349,
"eval_weighted_fpr": 0.013994245357049438,
"eval_weighted_sensitivity": 0.8342370255615802,
"eval_weighted_specificity": 0.9787323095035695,
"step": 5787
}
],
"logging_steps": 500,
"max_steps": 9645,
"num_train_epochs": 15,
"save_steps": 500,
"total_flos": 5.149281362538701e+16,
"trial_name": null,
"trial_params": null
}