{
  "best_metric": 0.6261172643852387,
  "best_model_checkpoint": "bart-base-lora/checkpoint-2250",
  "epoch": 13.996889580093313,
  "eval_steps": 500,
  "global_step": 2250,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.611154144074361,
      "eval_f1_macro": 0.28705545756004525,
      "eval_f1_micro": 0.611154144074361,
      "eval_f1_weighted": 0.5574695078229231,
      "eval_loss": 1.3204560279846191,
      "eval_macro_fpr": 0.046390243375546196,
      "eval_macro_sensitivity": 0.302378554842108,
      "eval_macro_specificity": 0.9691815961629444,
      "eval_precision": 0.5321554731456403,
      "eval_precision_macro": 0.2887439395071009,
      "eval_recall": 0.611154144074361,
      "eval_recall_macro": 0.302378554842108,
      "eval_runtime": 45.1674,
      "eval_samples_per_second": 28.583,
      "eval_steps_per_second": 3.587,
      "eval_weighted_fpr": 0.04347073086248701,
      "eval_weighted_sensitivity": 0.611154144074361,
      "eval_weighted_specificity": 0.9265697983698051,
      "step": 160
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.6994577846630519,
      "eval_f1_macro": 0.3947617401663212,
      "eval_f1_micro": 0.6994577846630519,
      "eval_f1_weighted": 0.6807748226338182,
      "eval_loss": 0.887535810470581,
      "eval_macro_fpr": 0.03062685085400977,
      "eval_macro_sensitivity": 0.4253981018601158,
      "eval_macro_specificity": 0.977359054380045,
      "eval_precision": 0.6728416067370143,
      "eval_precision_macro": 0.3822291983692299,
      "eval_recall": 0.6994577846630519,
      "eval_recall_macro": 0.4253981018601158,
      "eval_runtime": 44.0045,
      "eval_samples_per_second": 29.338,
      "eval_steps_per_second": 3.681,
      "eval_weighted_fpr": 0.02977743668457406,
      "eval_weighted_sensitivity": 0.6994577846630519,
      "eval_weighted_specificity": 0.9609280310376243,
      "step": 321
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7064291247095275,
      "eval_f1_macro": 0.39687975393644837,
      "eval_f1_micro": 0.7064291247095275,
      "eval_f1_weighted": 0.6751887743731854,
      "eval_loss": 0.842707633972168,
      "eval_macro_fpr": 0.029525759570689643,
      "eval_macro_sensitivity": 0.44418263304043937,
      "eval_macro_specificity": 0.9780349023882488,
      "eval_precision": 0.6951917464608133,
      "eval_precision_macro": 0.4131313886422618,
      "eval_recall": 0.7064291247095275,
      "eval_recall_macro": 0.44418263304043937,
      "eval_runtime": 44.2756,
      "eval_samples_per_second": 29.158,
      "eval_steps_per_second": 3.659,
      "eval_weighted_fpr": 0.02882786947592607,
      "eval_weighted_sensitivity": 0.7064291247095275,
      "eval_weighted_specificity": 0.9640944111142056,
      "step": 482
    },
    {
      "epoch": 3.11,
      "learning_rate": 3.958333333333333e-05,
      "loss": 1.2895,
      "step": 500
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7273431448489543,
      "eval_f1_macro": 0.42839565617146974,
      "eval_f1_micro": 0.7273431448489543,
      "eval_f1_weighted": 0.7166656051521775,
      "eval_loss": 0.7718679904937744,
      "eval_macro_fpr": 0.026373610346420835,
      "eval_macro_sensitivity": 0.4597947061276887,
      "eval_macro_specificity": 0.9797578098165848,
      "eval_precision": 0.7132141916978711,
      "eval_precision_macro": 0.41981312370683244,
      "eval_recall": 0.7273431448489543,
      "eval_recall_macro": 0.4597947061276887,
      "eval_runtime": 44.0471,
      "eval_samples_per_second": 29.31,
      "eval_steps_per_second": 3.678,
      "eval_weighted_fpr": 0.026077937472218107,
      "eval_weighted_sensitivity": 0.7273431448489543,
      "eval_weighted_specificity": 0.9690240023998159,
      "step": 643
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.750580945003873,
      "eval_f1_macro": 0.5071625387211971,
      "eval_f1_micro": 0.750580945003873,
      "eval_f1_weighted": 0.7368350875727435,
      "eval_loss": 0.7387559413909912,
      "eval_macro_fpr": 0.02390193870216418,
      "eval_macro_sensitivity": 0.5165232292614671,
      "eval_macro_specificity": 0.9813510652812688,
      "eval_precision": 0.739991301984922,
      "eval_precision_macro": 0.5733174750951799,
      "eval_recall": 0.750580945003873,
      "eval_recall_macro": 0.5165232292614671,
      "eval_runtime": 43.5191,
      "eval_samples_per_second": 29.665,
      "eval_steps_per_second": 3.723,
      "eval_weighted_fpr": 0.023185483870967742,
      "eval_weighted_sensitivity": 0.750580945003873,
      "eval_weighted_specificity": 0.9696850342151593,
      "step": 803
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.7443841982958946,
      "eval_f1_macro": 0.508766573370445,
      "eval_f1_micro": 0.7443841982958946,
      "eval_f1_weighted": 0.726841801268282,
      "eval_loss": 0.7526118755340576,
      "eval_macro_fpr": 0.024741953499129225,
      "eval_macro_sensitivity": 0.5229557335240369,
      "eval_macro_specificity": 0.980899976318631,
      "eval_precision": 0.7337183019873953,
      "eval_precision_macro": 0.5703412270657953,
      "eval_recall": 0.7443841982958946,
      "eval_recall_macro": 0.5229557335240369,
      "eval_runtime": 43.7116,
      "eval_samples_per_second": 29.534,
      "eval_steps_per_second": 3.706,
      "eval_weighted_fpr": 0.023940800928612886,
      "eval_weighted_sensitivity": 0.7443841982958946,
      "eval_weighted_specificity": 0.9691154464835722,
      "step": 964
    },
    {
      "epoch": 6.22,
      "learning_rate": 2.916666666666667e-05,
      "loss": 0.7332,
      "step": 1000
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.7552285050348567,
      "eval_f1_macro": 0.5608894910772386,
      "eval_f1_micro": 0.7552285050348567,
      "eval_f1_weighted": 0.7460771491633669,
      "eval_loss": 0.7082085609436035,
      "eval_macro_fpr": 0.02329269548734161,
      "eval_macro_sensitivity": 0.5727565701904757,
      "eval_macro_specificity": 0.9817624646436656,
      "eval_precision": 0.7436383222975608,
      "eval_precision_macro": 0.5665418243254761,
      "eval_recall": 0.7552285050348567,
      "eval_recall_macro": 0.5727565701904757,
      "eval_runtime": 43.8592,
      "eval_samples_per_second": 29.435,
      "eval_steps_per_second": 3.694,
      "eval_weighted_fpr": 0.02262637834741515,
      "eval_weighted_sensitivity": 0.7552285050348567,
      "eval_weighted_specificity": 0.9712084646201266,
      "step": 1125
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.7583268783888458,
      "eval_f1_macro": 0.5755845408528306,
      "eval_f1_micro": 0.7583268783888458,
      "eval_f1_weighted": 0.7502605827076951,
      "eval_loss": 0.7160602807998657,
      "eval_macro_fpr": 0.022834923601538912,
      "eval_macro_sensitivity": 0.5974764193374731,
      "eval_macro_specificity": 0.9820281006961107,
      "eval_precision": 0.7489019370925815,
      "eval_precision_macro": 0.5641453776326693,
      "eval_recall": 0.7583268783888458,
      "eval_recall_macro": 0.5974764193374731,
      "eval_runtime": 47.4544,
      "eval_samples_per_second": 27.205,
      "eval_steps_per_second": 3.414,
      "eval_weighted_fpr": 0.022257098016835498,
      "eval_weighted_sensitivity": 0.7583268783888458,
      "eval_weighted_specificity": 0.9720946320528147,
      "step": 1286
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.7776917118512781,
      "eval_f1_macro": 0.5874833340927881,
      "eval_f1_micro": 0.7776917118512781,
      "eval_f1_weighted": 0.7653015782806978,
      "eval_loss": 0.683149516582489,
      "eval_macro_fpr": 0.020831516213897273,
      "eval_macro_sensitivity": 0.606896137249408,
      "eval_macro_specificity": 0.9832816294136357,
      "eval_precision": 0.7586915140412427,
      "eval_precision_macro": 0.5780981033617572,
      "eval_recall": 0.7776917118512781,
      "eval_recall_macro": 0.606896137249408,
      "eval_runtime": 50.31,
      "eval_samples_per_second": 25.661,
      "eval_steps_per_second": 3.22,
      "eval_weighted_fpr": 0.02000976085895559,
      "eval_weighted_sensitivity": 0.7776917118512781,
      "eval_weighted_specificity": 0.9715327293532582,
      "step": 1446
    },
    {
      "epoch": 9.33,
      "learning_rate": 1.8750000000000002e-05,
      "loss": 0.6167,
      "step": 1500
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.7862122385747483,
      "eval_f1_macro": 0.5987413950993845,
      "eval_f1_micro": 0.7862122385747482,
      "eval_f1_weighted": 0.7753590541094936,
      "eval_loss": 0.6683156490325928,
      "eval_macro_fpr": 0.019819293314469463,
      "eval_macro_sensitivity": 0.617364154098103,
      "eval_macro_specificity": 0.9839313497952282,
      "eval_precision": 0.7714272913975577,
      "eval_precision_macro": 0.5916700769971839,
      "eval_recall": 0.7862122385747483,
      "eval_recall_macro": 0.617364154098103,
      "eval_runtime": 46.3094,
      "eval_samples_per_second": 27.878,
      "eval_steps_per_second": 3.498,
      "eval_weighted_fpr": 0.019052878641446915,
      "eval_weighted_sensitivity": 0.7862122385747483,
      "eval_weighted_specificity": 0.972758008353676,
      "step": 1607
    },
    {
      "epoch": 11.0,
      "eval_accuracy": 0.7761425251742835,
      "eval_f1_macro": 0.5945805235654043,
      "eval_f1_micro": 0.7761425251742835,
      "eval_f1_weighted": 0.7642426809512617,
      "eval_loss": 0.6884666085243225,
      "eval_macro_fpr": 0.020959556505082782,
      "eval_macro_sensitivity": 0.6219516621776988,
      "eval_macro_specificity": 0.9832325403042509,
      "eval_precision": 0.762752032263232,
      "eval_precision_macro": 0.581742682634886,
      "eval_recall": 0.7761425251742835,
      "eval_recall_macro": 0.6219516621776988,
      "eval_runtime": 44.4944,
      "eval_samples_per_second": 29.015,
      "eval_steps_per_second": 3.641,
      "eval_weighted_fpr": 0.02018579311308235,
      "eval_weighted_sensitivity": 0.7761425251742835,
      "eval_weighted_specificity": 0.9723455793894815,
      "step": 1768
    },
    {
      "epoch": 12.0,
      "eval_accuracy": 0.7869868319132456,
      "eval_f1_macro": 0.6214234200731922,
      "eval_f1_micro": 0.7869868319132455,
      "eval_f1_weighted": 0.7764436224395941,
      "eval_loss": 0.6829659938812256,
      "eval_macro_fpr": 0.01971781574074696,
      "eval_macro_sensitivity": 0.6463770170214457,
      "eval_macro_specificity": 0.9840270123264785,
      "eval_precision": 0.7826408792667282,
      "eval_precision_macro": 0.6626773170335125,
      "eval_recall": 0.7869868319132456,
      "eval_recall_macro": 0.6463770170214457,
      "eval_runtime": 43.9944,
      "eval_samples_per_second": 29.345,
      "eval_steps_per_second": 3.682,
      "eval_weighted_fpr": 0.018966825298296436,
      "eval_weighted_sensitivity": 0.7869868319132456,
      "eval_weighted_specificity": 0.9734183529839338,
      "step": 1929
    },
    {
      "epoch": 12.44,
      "learning_rate": 8.333333333333334e-06,
      "loss": 0.5314,
      "step": 2000
    },
    {
      "epoch": 13.0,
      "eval_accuracy": 0.7916343919442292,
      "eval_f1_macro": 0.6110606025775643,
      "eval_f1_micro": 0.7916343919442292,
      "eval_f1_weighted": 0.7817623460591858,
      "eval_loss": 0.660524845123291,
      "eval_macro_fpr": 0.01915789146680066,
      "eval_macro_sensitivity": 0.6358134270226833,
      "eval_macro_specificity": 0.984380207900859,
      "eval_precision": 0.7769679723590022,
      "eval_precision_macro": 0.5964718375735727,
      "eval_recall": 0.7916343919442292,
      "eval_recall_macro": 0.6358134270226833,
      "eval_runtime": 44.1283,
      "eval_samples_per_second": 29.256,
      "eval_steps_per_second": 3.671,
      "eval_weighted_fpr": 0.01845372847636688,
      "eval_weighted_sensitivity": 0.7916343919442292,
      "eval_weighted_specificity": 0.9740687265686558,
      "step": 2089
    },
    {
      "epoch": 14.0,
      "eval_accuracy": 0.790859798605732,
      "eval_f1_macro": 0.6261172643852387,
      "eval_f1_micro": 0.790859798605732,
      "eval_f1_weighted": 0.780302820536599,
      "eval_loss": 0.6614473462104797,
      "eval_macro_fpr": 0.019344545099537428,
      "eval_macro_sensitivity": 0.6477733385910524,
      "eval_macro_specificity": 0.9842490309995476,
      "eval_precision": 0.7794397894982683,
      "eval_precision_macro": 0.6367821774875876,
      "eval_recall": 0.790859798605732,
      "eval_recall_macro": 0.6477733385910524,
      "eval_runtime": 52.6504,
      "eval_samples_per_second": 24.52,
      "eval_steps_per_second": 3.077,
      "eval_weighted_fpr": 0.018538862949739082,
      "eval_weighted_sensitivity": 0.790859798605732,
      "eval_weighted_specificity": 0.9728756663874838,
      "step": 2250
    }
  ],
  "logging_steps": 500,
  "max_steps": 2400,
  "num_train_epochs": 15,
  "save_steps": 500,
  "total_flos": 2.278788590234419e+16,
  "trial_name": null,
  "trial_params": null
}