{
  "best_metric": 0.6732447131282889,
  "best_model_checkpoint": "bart-large/checkpoint-12845",
  "epoch": 6.0,
  "eval_steps": 500,
  "global_step": 15414,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.19,
      "learning_rate": 4.967886337096146e-05,
      "loss": 2.0273,
      "step": 500
    },
    {
      "epoch": 0.39,
      "learning_rate": 4.9354482937589206e-05,
      "loss": 1.4983,
      "step": 1000
    },
    {
      "epoch": 0.58,
      "learning_rate": 4.903140002595043e-05,
      "loss": 1.4727,
      "step": 1500
    },
    {
      "epoch": 0.78,
      "learning_rate": 4.870701959257818e-05,
      "loss": 1.3945,
      "step": 2000
    },
    {
      "epoch": 0.97,
      "learning_rate": 4.8383287920072665e-05,
      "loss": 1.1685,
      "step": 2500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6847405112316034,
      "eval_f1_macro": 0.4296023125768376,
      "eval_f1_micro": 0.6847405112316034,
      "eval_f1_weighted": 0.6471198955620663,
      "eval_loss": 1.258675456047058,
      "eval_macro_fpr": 0.03310536835500512,
      "eval_macro_sensitivity": 0.47197476920519743,
      "eval_macro_specificity": 0.9759825618150952,
      "eval_precision": 0.6359796796355663,
      "eval_precision_macro": 0.4175869918662546,
      "eval_recall": 0.6847405112316034,
      "eval_recall_macro": 0.47197476920519743,
      "eval_runtime": 166.2079,
      "eval_samples_per_second": 7.767,
      "eval_steps_per_second": 3.887,
      "eval_weighted_fpr": 0.03183916138621607,
      "eval_weighted_sensitivity": 0.6847405112316034,
      "eval_weighted_specificity": 0.9549979159948256,
      "step": 2569
    },
    {
      "epoch": 1.17,
      "learning_rate": 4.80589074867004e-05,
      "loss": 1.2814,
      "step": 3000
    },
    {
      "epoch": 1.36,
      "learning_rate": 4.7734527053328146e-05,
      "loss": 1.2579,
      "step": 3500
    },
    {
      "epoch": 1.56,
      "learning_rate": 4.741079538082263e-05,
      "loss": 1.246,
      "step": 4000
    },
    {
      "epoch": 1.75,
      "learning_rate": 4.708641494745037e-05,
      "loss": 1.0685,
      "step": 4500
    },
    {
      "epoch": 1.95,
      "learning_rate": 4.676203451407811e-05,
      "loss": 1.1965,
      "step": 5000
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.6638264910921766,
      "eval_f1_macro": 0.3954707529203812,
      "eval_f1_micro": 0.6638264910921766,
      "eval_f1_weighted": 0.6467821848395333,
      "eval_loss": 1.1623183488845825,
      "eval_macro_fpr": 0.03422706134984445,
      "eval_macro_sensitivity": 0.4261017849773373,
      "eval_macro_specificity": 0.9752839802406176,
      "eval_precision": 0.6943370263824146,
      "eval_precision_macro": 0.45636498568634104,
      "eval_recall": 0.6638264910921766,
      "eval_recall_macro": 0.4261017849773373,
      "eval_runtime": 320.2013,
      "eval_samples_per_second": 4.032,
      "eval_steps_per_second": 2.017,
      "eval_weighted_fpr": 0.03490990990990991,
      "eval_weighted_sensitivity": 0.6638264910921766,
      "eval_weighted_specificity": 0.9654332125170877,
      "step": 5138
    },
    {
      "epoch": 2.14,
      "learning_rate": 4.643765408070585e-05,
      "loss": 1.0697,
      "step": 5500
    },
    {
      "epoch": 2.34,
      "learning_rate": 4.611327364733359e-05,
      "loss": 1.1042,
      "step": 6000
    },
    {
      "epoch": 2.53,
      "learning_rate": 4.578954197482808e-05,
      "loss": 1.124,
      "step": 6500
    },
    {
      "epoch": 2.72,
      "learning_rate": 4.546516154145582e-05,
      "loss": 1.1449,
      "step": 7000
    },
    {
      "epoch": 2.92,
      "learning_rate": 4.514078110808356e-05,
      "loss": 1.189,
      "step": 7500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7234701781564679,
      "eval_f1_macro": 0.5196282925085354,
      "eval_f1_micro": 0.7234701781564679,
      "eval_f1_weighted": 0.7031290239201134,
      "eval_loss": 1.357356309890747,
      "eval_macro_fpr": 0.027073020005110214,
      "eval_macro_sensitivity": 0.5527845991176076,
      "eval_macro_specificity": 0.9790845865453512,
      "eval_precision": 0.7219921821470505,
      "eval_precision_macro": 0.5413306235947684,
      "eval_recall": 0.7234701781564679,
      "eval_recall_macro": 0.5527845991176076,
      "eval_runtime": 290.3268,
      "eval_samples_per_second": 4.447,
      "eval_steps_per_second": 2.225,
      "eval_weighted_fpr": 0.026576341844710787,
      "eval_weighted_sensitivity": 0.7234701781564679,
      "eval_weighted_specificity": 0.9627986200238022,
      "step": 7707
    },
    {
      "epoch": 3.11,
      "learning_rate": 4.481704943557805e-05,
      "loss": 0.9829,
      "step": 8000
    },
    {
      "epoch": 3.31,
      "learning_rate": 4.4492669002205786e-05,
      "loss": 0.9172,
      "step": 8500
    },
    {
      "epoch": 3.5,
      "learning_rate": 4.416828856883353e-05,
      "loss": 0.9911,
      "step": 9000
    },
    {
      "epoch": 3.7,
      "learning_rate": 4.384390813546127e-05,
      "loss": 0.9934,
      "step": 9500
    },
    {
      "epoch": 3.89,
      "learning_rate": 4.351952770208901e-05,
      "loss": 1.0127,
      "step": 10000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7668474051123161,
      "eval_f1_macro": 0.6233324855492023,
      "eval_f1_micro": 0.7668474051123161,
      "eval_f1_weighted": 0.7569127961671379,
      "eval_loss": 1.4684507846832275,
      "eval_macro_fpr": 0.022371017412255348,
      "eval_macro_sensitivity": 0.6201844239757082,
      "eval_macro_specificity": 0.9821444214871504,
      "eval_precision": 0.7584494799967734,
      "eval_precision_macro": 0.6670503035550461,
      "eval_recall": 0.7668474051123161,
      "eval_recall_macro": 0.6201844239757082,
      "eval_runtime": 296.0277,
      "eval_samples_per_second": 4.361,
      "eval_steps_per_second": 2.182,
      "eval_weighted_fpr": 0.021255561047948592,
      "eval_weighted_sensitivity": 0.7668474051123161,
      "eval_weighted_specificity": 0.9653189171949409,
      "step": 10276
    },
    {
      "epoch": 4.09,
      "learning_rate": 4.3196444790450244e-05,
      "loss": 0.9926,
      "step": 10500
    },
    {
      "epoch": 4.28,
      "learning_rate": 4.287206435707798e-05,
      "loss": 1.1046,
      "step": 11000
    },
    {
      "epoch": 4.48,
      "learning_rate": 4.2547683923705725e-05,
      "loss": 0.8572,
      "step": 11500
    },
    {
      "epoch": 4.67,
      "learning_rate": 4.222330349033346e-05,
      "loss": 0.8623,
      "step": 12000
    },
    {
      "epoch": 4.87,
      "learning_rate": 4.1898923056961206e-05,
      "loss": 1.0205,
      "step": 12500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.7668474051123161,
      "eval_f1_macro": 0.6732447131282889,
      "eval_f1_micro": 0.7668474051123161,
      "eval_f1_weighted": 0.7643097206437405,
      "eval_loss": 1.4232454299926758,
      "eval_macro_fpr": 0.021536303183803004,
      "eval_macro_sensitivity": 0.6871530786461169,
      "eval_macro_specificity": 0.9827017397959152,
      "eval_precision": 0.7710604143740172,
      "eval_precision_macro": 0.6764905863857386,
      "eval_recall": 0.7668474051123161,
      "eval_recall_macro": 0.6871530786461169,
      "eval_runtime": 288.8657,
      "eval_samples_per_second": 4.469,
      "eval_steps_per_second": 2.236,
      "eval_weighted_fpr": 0.021255561047948592,
      "eval_weighted_sensitivity": 0.7668474051123161,
      "eval_weighted_specificity": 0.9736786918264111,
      "step": 12845
    },
    {
      "epoch": 5.06,
      "learning_rate": 4.1574542623588944e-05,
      "loss": 0.888,
      "step": 13000
    },
    {
      "epoch": 5.25,
      "learning_rate": 4.125016219021669e-05,
      "loss": 0.7739,
      "step": 13500
    },
    {
      "epoch": 5.45,
      "learning_rate": 4.0925781756844425e-05,
      "loss": 0.9572,
      "step": 14000
    },
    {
      "epoch": 5.64,
      "learning_rate": 4.060140132347217e-05,
      "loss": 0.8296,
      "step": 14500
    },
    {
      "epoch": 5.84,
      "learning_rate": 4.0277020890099906e-05,
      "loss": 0.7927,
      "step": 15000
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.7428350116189001,
      "eval_f1_macro": 0.6107557579512543,
      "eval_f1_micro": 0.7428350116189001,
      "eval_f1_weighted": 0.729163687728552,
      "eval_loss": 1.5677722692489624,
      "eval_macro_fpr": 0.024790721920250693,
      "eval_macro_sensitivity": 0.6332883060366477,
      "eval_macro_specificity": 0.9807865890062467,
      "eval_precision": 0.7451349692354797,
      "eval_precision_macro": 0.6488747447950202,
      "eval_recall": 0.7428350116189001,
      "eval_recall_macro": 0.6332883060366477,
      "eval_runtime": 291.455,
      "eval_samples_per_second": 4.429,
      "eval_steps_per_second": 2.216,
      "eval_weighted_fpr": 0.024131414449774676,
      "eval_weighted_sensitivity": 0.7428350116189001,
      "eval_weighted_specificity": 0.9689638234747989,
      "step": 15414
    }
  ],
  "logging_steps": 500,
  "max_steps": 77070,
  "num_train_epochs": 30,
  "save_steps": 500,
  "total_flos": 3.350460732040397e+16,
  "trial_name": null,
  "trial_params": null
}