xshubhamx's picture
Upload folder using huggingface_hub
5a711a6 verified
{
"best_metric": 0.741686227084744,
"best_model_checkpoint": "bart-base-lora/checkpoint-2400",
"epoch": 14.930015552099533,
"eval_steps": 500,
"global_step": 2400,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.715724244771495,
"eval_f1_macro": 0.3957532686340496,
"eval_f1_micro": 0.715724244771495,
"eval_f1_weighted": 0.6834645556416842,
"eval_loss": 0.9525313973426819,
"eval_macro_fpr": 0.028501626692807605,
"eval_macro_sensitivity": 0.4415906678049911,
"eval_macro_specificity": 0.9786637894661117,
"eval_precision": 0.6787596592263883,
"eval_precision_macro": 0.38751339695744513,
"eval_recall": 0.715724244771495,
"eval_recall_macro": 0.4415906678049911,
"eval_runtime": 120.9594,
"eval_samples_per_second": 10.673,
"eval_steps_per_second": 1.339,
"eval_weighted_fpr": 0.027587762158911525,
"eval_weighted_sensitivity": 0.715724244771495,
"eval_weighted_specificity": 0.9642325972201805,
"step": 160
},
{
"epoch": 2.0,
"eval_accuracy": 0.7412858249419055,
"eval_f1_macro": 0.43370046411892155,
"eval_f1_micro": 0.7412858249419055,
"eval_f1_weighted": 0.7231329193382661,
"eval_loss": 0.7733433842658997,
"eval_macro_fpr": 0.025167370687133015,
"eval_macro_sensitivity": 0.4686708989603177,
"eval_macro_specificity": 0.9805374797463638,
"eval_precision": 0.729625861926521,
"eval_precision_macro": 0.4491323101141271,
"eval_recall": 0.7412858249419055,
"eval_recall_macro": 0.4686708989603177,
"eval_runtime": 119.8649,
"eval_samples_per_second": 10.77,
"eval_steps_per_second": 1.352,
"eval_weighted_fpr": 0.024322749781532187,
"eval_weighted_sensitivity": 0.7412858249419055,
"eval_weighted_specificity": 0.9667763712535515,
"step": 321
},
{
"epoch": 3.0,
"eval_accuracy": 0.7738187451587917,
"eval_f1_macro": 0.5270593942960143,
"eval_f1_micro": 0.7738187451587917,
"eval_f1_weighted": 0.7610767338978833,
"eval_loss": 0.7104586958885193,
"eval_macro_fpr": 0.021211805484311928,
"eval_macro_sensitivity": 0.5407847836684627,
"eval_macro_specificity": 0.9830897092527341,
"eval_precision": 0.7630858215778352,
"eval_precision_macro": 0.5565386466479504,
"eval_recall": 0.7738187451587917,
"eval_recall_macro": 0.5407847836684627,
"eval_runtime": 119.5419,
"eval_samples_per_second": 10.8,
"eval_steps_per_second": 1.355,
"eval_weighted_fpr": 0.020451043563524302,
"eval_weighted_sensitivity": 0.7738187451587917,
"eval_weighted_specificity": 0.9725268936322198,
"step": 482
},
{
"epoch": 3.11,
"learning_rate": 3.958333333333333e-05,
"loss": 1.08,
"step": 500
},
{
"epoch": 4.0,
"eval_accuracy": 0.7575522850503486,
"eval_f1_macro": 0.5497163954183316,
"eval_f1_micro": 0.7575522850503486,
"eval_f1_weighted": 0.7437674055775699,
"eval_loss": 0.7538753151893616,
"eval_macro_fpr": 0.023393901824967867,
"eval_macro_sensitivity": 0.5613408412198008,
"eval_macro_specificity": 0.9817091819688993,
"eval_precision": 0.7583906478192325,
"eval_precision_macro": 0.5791225123984725,
"eval_recall": 0.7575522850503486,
"eval_recall_macro": 0.5613408412198008,
"eval_runtime": 120.3095,
"eval_samples_per_second": 10.731,
"eval_steps_per_second": 1.347,
"eval_weighted_fpr": 0.022349161013923598,
"eval_weighted_sensitivity": 0.7575522850503486,
"eval_weighted_specificity": 0.9680854444831427,
"step": 643
},
{
"epoch": 5.0,
"eval_accuracy": 0.7831138652207591,
"eval_f1_macro": 0.6353946839596228,
"eval_f1_micro": 0.783113865220759,
"eval_f1_weighted": 0.770250750407997,
"eval_loss": 0.6978110074996948,
"eval_macro_fpr": 0.020328728105215688,
"eval_macro_sensitivity": 0.6491872351233146,
"eval_macro_specificity": 0.983610303127039,
"eval_precision": 0.790031827496624,
"eval_precision_macro": 0.7409525878258343,
"eval_recall": 0.7831138652207591,
"eval_recall_macro": 0.6491872351233146,
"eval_runtime": 119.9411,
"eval_samples_per_second": 10.764,
"eval_steps_per_second": 1.351,
"eval_weighted_fpr": 0.019398642095053348,
"eval_weighted_sensitivity": 0.7831138652207591,
"eval_weighted_specificity": 0.9710406816848265,
"step": 803
},
{
"epoch": 6.0,
"eval_accuracy": 0.8156467854376452,
"eval_f1_macro": 0.686011065139391,
"eval_f1_micro": 0.8156467854376452,
"eval_f1_weighted": 0.8087620976325791,
"eval_loss": 0.5920090675354004,
"eval_macro_fpr": 0.016634568189926056,
"eval_macro_sensitivity": 0.6889168814632094,
"eval_macro_specificity": 0.9860196319752603,
"eval_precision": 0.8053079350996695,
"eval_precision_macro": 0.7051361586363433,
"eval_recall": 0.8156467854376452,
"eval_recall_macro": 0.6889168814632094,
"eval_runtime": 121.4244,
"eval_samples_per_second": 10.632,
"eval_steps_per_second": 1.334,
"eval_weighted_fpr": 0.01588785046728972,
"eval_weighted_sensitivity": 0.8156467854376452,
"eval_weighted_specificity": 0.974647694191258,
"step": 964
},
{
"epoch": 6.22,
"learning_rate": 2.916666666666667e-05,
"loss": 0.5581,
"step": 1000
},
{
"epoch": 7.0,
"eval_accuracy": 0.8187451587916343,
"eval_f1_macro": 0.7393184269658342,
"eval_f1_micro": 0.8187451587916342,
"eval_f1_weighted": 0.8146848849127107,
"eval_loss": 0.6230757236480713,
"eval_macro_fpr": 0.016206558639896132,
"eval_macro_sensitivity": 0.7424574536250088,
"eval_macro_specificity": 0.9863587851767341,
"eval_precision": 0.8177894369587694,
"eval_precision_macro": 0.7626654223433325,
"eval_recall": 0.8187451587916343,
"eval_recall_macro": 0.7424574536250088,
"eval_runtime": 122.7775,
"eval_samples_per_second": 10.515,
"eval_steps_per_second": 1.319,
"eval_weighted_fpr": 0.015566790846194785,
"eval_weighted_sensitivity": 0.8187451587916343,
"eval_weighted_specificity": 0.9766366188593788,
"step": 1125
},
{
"epoch": 8.0,
"eval_accuracy": 0.8140975987606507,
"eval_f1_macro": 0.7328585966804847,
"eval_f1_micro": 0.8140975987606507,
"eval_f1_weighted": 0.8088643288992207,
"eval_loss": 0.6290707588195801,
"eval_macro_fpr": 0.01671628651715199,
"eval_macro_sensitivity": 0.730719512015592,
"eval_macro_specificity": 0.985990627132147,
"eval_precision": 0.8133783130550384,
"eval_precision_macro": 0.7636063765511063,
"eval_recall": 0.8140975987606507,
"eval_recall_macro": 0.730719512015592,
"eval_runtime": 122.8754,
"eval_samples_per_second": 10.507,
"eval_steps_per_second": 1.318,
"eval_weighted_fpr": 0.016049217600641968,
"eval_weighted_sensitivity": 0.8140975987606507,
"eval_weighted_specificity": 0.975761808221554,
"step": 1286
},
{
"epoch": 9.0,
"eval_accuracy": 0.8241673121611154,
"eval_f1_macro": 0.7364711129039813,
"eval_f1_micro": 0.8241673121611154,
"eval_f1_weighted": 0.8190822404938951,
"eval_loss": 0.6226187348365784,
"eval_macro_fpr": 0.015759087941173786,
"eval_macro_sensitivity": 0.7340167949600996,
"eval_macro_specificity": 0.9866810242390173,
"eval_precision": 0.8212295601295609,
"eval_precision_macro": 0.7665878963082912,
"eval_recall": 0.8241673121611154,
"eval_recall_macro": 0.7340167949600996,
"eval_runtime": 119.2726,
"eval_samples_per_second": 10.824,
"eval_steps_per_second": 1.358,
"eval_weighted_fpr": 0.015010249289162203,
"eval_weighted_sensitivity": 0.8241673121611154,
"eval_weighted_specificity": 0.9760480514241424,
"step": 1446
},
{
"epoch": 9.33,
"learning_rate": 1.8750000000000002e-05,
"loss": 0.3924,
"step": 1500
},
{
"epoch": 10.0,
"eval_accuracy": 0.8109992254066615,
"eval_f1_macro": 0.7240137823928982,
"eval_f1_micro": 0.8109992254066615,
"eval_f1_weighted": 0.8047604071311991,
"eval_loss": 0.672822892665863,
"eval_macro_fpr": 0.017004063571327103,
"eval_macro_sensitivity": 0.7288750805513627,
"eval_macro_specificity": 0.9858130697255809,
"eval_precision": 0.8123042127541057,
"eval_precision_macro": 0.7417780746962291,
"eval_recall": 0.8109992254066615,
"eval_recall_macro": 0.7288750805513627,
"eval_runtime": 119.3649,
"eval_samples_per_second": 10.816,
"eval_steps_per_second": 1.357,
"eval_weighted_fpr": 0.016373641121997046,
"eval_weighted_sensitivity": 0.8109992254066615,
"eval_weighted_specificity": 0.976196820477052,
"step": 1607
},
{
"epoch": 11.0,
"eval_accuracy": 0.8094500387296669,
"eval_f1_macro": 0.7262574438118878,
"eval_f1_micro": 0.8094500387296669,
"eval_f1_weighted": 0.8026446222230169,
"eval_loss": 0.6805150508880615,
"eval_macro_fpr": 0.017269448415116812,
"eval_macro_sensitivity": 0.7303446738424816,
"eval_macro_specificity": 0.9856433903766489,
"eval_precision": 0.8123272064418959,
"eval_precision_macro": 0.7389776120628855,
"eval_recall": 0.8094500387296669,
"eval_recall_macro": 0.7303446738424816,
"eval_runtime": 119.049,
"eval_samples_per_second": 10.844,
"eval_steps_per_second": 1.361,
"eval_weighted_fpr": 0.016536703414896478,
"eval_weighted_sensitivity": 0.8094500387296669,
"eval_weighted_specificity": 0.9752008169200658,
"step": 1768
},
{
"epoch": 12.0,
"eval_accuracy": 0.8133230054221534,
"eval_f1_macro": 0.7283700928598721,
"eval_f1_micro": 0.8133230054221534,
"eval_f1_weighted": 0.8089952243674349,
"eval_loss": 0.670982301235199,
"eval_macro_fpr": 0.016803062086639158,
"eval_macro_sensitivity": 0.7306161057668827,
"eval_macro_specificity": 0.9859491188467968,
"eval_precision": 0.813705327621,
"eval_precision_macro": 0.7396207219727483,
"eval_recall": 0.8133230054221534,
"eval_recall_macro": 0.7306161057668827,
"eval_runtime": 179.3033,
"eval_samples_per_second": 7.2,
"eval_steps_per_second": 0.903,
"eval_weighted_fpr": 0.016130111772973698,
"eval_weighted_sensitivity": 0.8133230054221534,
"eval_weighted_specificity": 0.9759137772797981,
"step": 1929
},
{
"epoch": 12.44,
"learning_rate": 8.333333333333334e-06,
"loss": 0.2929,
"step": 2000
},
{
"epoch": 13.0,
"eval_accuracy": 0.8187451587916343,
"eval_f1_macro": 0.73684785586885,
"eval_f1_micro": 0.8187451587916342,
"eval_f1_weighted": 0.8150888108444543,
"eval_loss": 0.6740049719810486,
"eval_macro_fpr": 0.01621356652381048,
"eval_macro_sensitivity": 0.7360046444502426,
"eval_macro_specificity": 0.9863212120014355,
"eval_precision": 0.8169592155695241,
"eval_precision_macro": 0.7644187374870298,
"eval_recall": 0.8187451587916343,
"eval_recall_macro": 0.7360046444502426,
"eval_runtime": 119.1613,
"eval_samples_per_second": 10.834,
"eval_steps_per_second": 1.36,
"eval_weighted_fpr": 0.015566790846194785,
"eval_weighted_sensitivity": 0.8187451587916343,
"eval_weighted_specificity": 0.9760730212298985,
"step": 2089
},
{
"epoch": 14.0,
"eval_accuracy": 0.8179705654531371,
"eval_f1_macro": 0.7360855331051521,
"eval_f1_micro": 0.817970565453137,
"eval_f1_weighted": 0.8136558284635095,
"eval_loss": 0.6823435425758362,
"eval_macro_fpr": 0.016364294303971197,
"eval_macro_sensitivity": 0.7336475818062481,
"eval_macro_specificity": 0.9862178349089701,
"eval_precision": 0.8158757496725866,
"eval_precision_macro": 0.7657492044841306,
"eval_recall": 0.8179705654531371,
"eval_recall_macro": 0.7336475818062481,
"eval_runtime": 119.9116,
"eval_samples_per_second": 10.766,
"eval_steps_per_second": 1.351,
"eval_weighted_fpr": 0.01564684732671949,
"eval_weighted_sensitivity": 0.8179705654531371,
"eval_weighted_specificity": 0.9752969581814132,
"step": 2250
},
{
"epoch": 14.93,
"eval_accuracy": 0.8171959721146398,
"eval_f1_macro": 0.741686227084744,
"eval_f1_micro": 0.8171959721146398,
"eval_f1_weighted": 0.8123666303237236,
"eval_loss": 0.6883538365364075,
"eval_macro_fpr": 0.016431634793055545,
"eval_macro_sensitivity": 0.7412016365606894,
"eval_macro_specificity": 0.9861826479575689,
"eval_precision": 0.8131542275099815,
"eval_precision_macro": 0.7584490957896397,
"eval_recall": 0.8171959721146398,
"eval_recall_macro": 0.7412016365606894,
"eval_runtime": 120.2818,
"eval_samples_per_second": 10.733,
"eval_steps_per_second": 1.347,
"eval_weighted_fpr": 0.015727042516326804,
"eval_weighted_sensitivity": 0.8171959721146398,
"eval_weighted_specificity": 0.975543747248895,
"step": 2400
}
],
"logging_steps": 500,
"max_steps": 2400,
"num_train_epochs": 15,
"save_steps": 500,
"total_flos": 8.542715907800678e+16,
"trial_name": null,
"trial_params": null
}