{
  "best_metric": 0.7408195079003096,
  "best_model_checkpoint": "bart-large/checkpoint-64225",
  "epoch": 30.0,
  "eval_steps": 500,
  "global_step": 77070,
  "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
    },
    {
      "epoch": 6.03,
      "learning_rate": 3.995264045672765e-05,
      "loss": 0.8196,
      "step": 15500
    },
    {
      "epoch": 6.23,
      "learning_rate": 3.9628260023355394e-05,
      "loss": 0.6989,
      "step": 16000
    },
    {
      "epoch": 6.42,
      "learning_rate": 3.930387958998313e-05,
      "loss": 0.7149,
      "step": 16500
    },
    {
      "epoch": 6.62,
      "learning_rate": 3.8979499156610875e-05,
      "loss": 0.7459,
      "step": 17000
    },
    {
      "epoch": 6.81,
      "learning_rate": 3.865511872323861e-05,
      "loss": 0.7701,
      "step": 17500
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.7467079783113865,
      "eval_f1_macro": 0.6583574261846535,
      "eval_f1_micro": 0.7467079783113864,
      "eval_f1_weighted": 0.7399270546375634,
      "eval_loss": 1.7336597442626953,
      "eval_macro_fpr": 0.023989153033760927,
      "eval_macro_sensitivity": 0.6536163621805403,
      "eval_macro_specificity": 0.9809809544706846,
      "eval_precision": 0.759972067375925,
      "eval_precision_macro": 0.6862877418910309,
      "eval_recall": 0.7467079783113865,
      "eval_recall_macro": 0.6536163621805403,
      "eval_runtime": 289.659,
      "eval_samples_per_second": 4.457,
      "eval_steps_per_second": 2.23,
      "eval_weighted_fpr": 0.023656225132026334,
      "eval_weighted_sensitivity": 0.7467079783113865,
      "eval_weighted_specificity": 0.9680063387488825,
      "step": 17983
    },
    {
      "epoch": 7.01,
      "learning_rate": 3.83313870507331e-05,
      "loss": 0.826,
      "step": 18000
    },
    {
      "epoch": 7.2,
      "learning_rate": 3.800765537822758e-05,
      "loss": 0.6803,
      "step": 18500
    },
    {
      "epoch": 7.4,
      "learning_rate": 3.7683274944855327e-05,
      "loss": 0.6779,
      "step": 19000
    },
    {
      "epoch": 7.59,
      "learning_rate": 3.7358894511483064e-05,
      "loss": 0.616,
      "step": 19500
    },
    {
      "epoch": 7.79,
      "learning_rate": 3.703451407811081e-05,
      "loss": 0.608,
      "step": 20000
    },
    {
      "epoch": 7.98,
      "learning_rate": 3.671013364473855e-05,
      "loss": 0.584,
      "step": 20500
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.7691711851278079,
      "eval_f1_macro": 0.6979809418287721,
      "eval_f1_micro": 0.7691711851278079,
      "eval_f1_weighted": 0.7682883483181749,
      "eval_loss": 1.6188185214996338,
      "eval_macro_fpr": 0.021432185448306138,
      "eval_macro_sensitivity": 0.7065204224528159,
      "eval_macro_specificity": 0.9826542042505794,
      "eval_precision": 0.7766202006674988,
      "eval_precision_macro": 0.6979437669181305,
      "eval_recall": 0.7691711851278079,
      "eval_recall_macro": 0.7065204224528159,
      "eval_runtime": 303.6709,
      "eval_samples_per_second": 4.251,
      "eval_steps_per_second": 2.127,
      "eval_weighted_fpr": 0.020985915492957745,
      "eval_weighted_sensitivity": 0.7691711851278079,
      "eval_weighted_specificity": 0.9706418786308822,
      "step": 20552
    },
    {
      "epoch": 8.17,
      "learning_rate": 3.638575321136629e-05,
      "loss": 0.5266,
      "step": 21000
    },
    {
      "epoch": 8.37,
      "learning_rate": 3.606137277799403e-05,
      "loss": 0.6717,
      "step": 21500
    },
    {
      "epoch": 8.56,
      "learning_rate": 3.573699234462177e-05,
      "loss": 0.5474,
      "step": 22000
    },
    {
      "epoch": 8.76,
      "learning_rate": 3.5412611911249514e-05,
      "loss": 0.638,
      "step": 22500
    },
    {
      "epoch": 8.95,
      "learning_rate": 3.5088880238743996e-05,
      "loss": 0.5659,
      "step": 23000
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.7598760650658405,
      "eval_f1_macro": 0.6728187845754294,
      "eval_f1_micro": 0.7598760650658405,
      "eval_f1_weighted": 0.7542471407266271,
      "eval_loss": 1.6982707977294922,
      "eval_macro_fpr": 0.02271263520390573,
      "eval_macro_sensitivity": 0.680403785625184,
      "eval_macro_specificity": 0.9819588600237938,
      "eval_precision": 0.766529422163196,
      "eval_precision_macro": 0.7000337979719602,
      "eval_recall": 0.7598760650658405,
      "eval_recall_macro": 0.680403785625184,
      "eval_runtime": 286.113,
      "eval_samples_per_second": 4.512,
      "eval_steps_per_second": 2.258,
      "eval_weighted_fpr": 0.02207348333808032,
      "eval_weighted_sensitivity": 0.7598760650658405,
      "eval_weighted_specificity": 0.9695068352910698,
      "step": 23121
    },
    {
      "epoch": 9.15,
      "learning_rate": 3.476449980537174e-05,
      "loss": 0.5062,
      "step": 23500
    },
    {
      "epoch": 9.34,
      "learning_rate": 3.4440119371999484e-05,
      "loss": 0.4485,
      "step": 24000
    },
    {
      "epoch": 9.54,
      "learning_rate": 3.411573893862722e-05,
      "loss": 0.6239,
      "step": 24500
    },
    {
      "epoch": 9.73,
      "learning_rate": 3.379200726612171e-05,
      "loss": 0.6764,
      "step": 25000
    },
    {
      "epoch": 9.93,
      "learning_rate": 3.3467626832749447e-05,
      "loss": 0.7021,
      "step": 25500
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.7699457784663052,
      "eval_f1_macro": 0.6953722525071192,
      "eval_f1_micro": 0.7699457784663051,
      "eval_f1_weighted": 0.7634449085212252,
      "eval_loss": 1.6445409059524536,
      "eval_macro_fpr": 0.022344139928734137,
      "eval_macro_sensitivity": 0.6856644071349105,
      "eval_macro_specificity": 0.9820521636968861,
      "eval_precision": 0.7656296240571903,
      "eval_precision_macro": 0.7143810783711486,
      "eval_recall": 0.7699457784663052,
      "eval_recall_macro": 0.6856644071349105,
      "eval_runtime": 288.6164,
      "eval_samples_per_second": 4.473,
      "eval_steps_per_second": 2.238,
      "eval_weighted_fpr": 0.0208963624850489,
      "eval_weighted_sensitivity": 0.7699457784663052,
      "eval_weighted_specificity": 0.9608366769869864,
      "step": 25690
    },
    {
      "epoch": 10.12,
      "learning_rate": 3.314324639937719e-05,
      "loss": 0.6243,
      "step": 26000
    },
    {
      "epoch": 10.32,
      "learning_rate": 3.281886596600493e-05,
      "loss": 0.6952,
      "step": 26500
    },
    {
      "epoch": 10.51,
      "learning_rate": 3.249448553263267e-05,
      "loss": 0.7705,
      "step": 27000
    },
    {
      "epoch": 10.7,
      "learning_rate": 3.217010509926041e-05,
      "loss": 0.6582,
      "step": 27500
    },
    {
      "epoch": 10.9,
      "learning_rate": 3.184572466588815e-05,
      "loss": 0.6216,
      "step": 28000
    },
    {
      "epoch": 11.0,
      "eval_accuracy": 0.7676219984508134,
      "eval_f1_macro": 0.6786279912338002,
      "eval_f1_micro": 0.7676219984508135,
      "eval_f1_weighted": 0.7623696014823479,
      "eval_loss": 1.656176209449768,
      "eval_macro_fpr": 0.022330481497328643,
      "eval_macro_sensitivity": 0.6775994679116955,
      "eval_macro_specificity": 0.9821081561015023,
      "eval_precision": 0.7633744243747118,
      "eval_precision_macro": 0.6856198086678005,
      "eval_recall": 0.7676219984508134,
      "eval_recall_macro": 0.6775994679116955,
      "eval_runtime": 286.2474,
      "eval_samples_per_second": 4.51,
      "eval_steps_per_second": 2.257,
      "eval_weighted_fpr": 0.021165514321998025,
      "eval_weighted_sensitivity": 0.7676219984508134,
      "eval_weighted_specificity": 0.9640003430717192,
      "step": 28259
    },
    {
      "epoch": 11.09,
      "learning_rate": 3.15213442325159e-05,
      "loss": 0.716,
      "step": 28500
    },
    {
      "epoch": 11.29,
      "learning_rate": 3.119826132087712e-05,
      "loss": 0.5161,
      "step": 29000
    },
    {
      "epoch": 11.48,
      "learning_rate": 3.087388088750487e-05,
      "loss": 0.5121,
      "step": 29500
    },
    {
      "epoch": 11.68,
      "learning_rate": 3.0549500454132604e-05,
      "loss": 0.4694,
      "step": 30000
    },
    {
      "epoch": 11.87,
      "learning_rate": 3.0225120020760352e-05,
      "loss": 0.6408,
      "step": 30500
    },
    {
      "epoch": 12.0,
      "eval_accuracy": 0.7668474051123161,
      "eval_f1_macro": 0.6665576721498584,
      "eval_f1_micro": 0.7668474051123161,
      "eval_f1_weighted": 0.760771317042359,
      "eval_loss": 1.6681983470916748,
      "eval_macro_fpr": 0.022265012904393446,
      "eval_macro_sensitivity": 0.6719396221017415,
      "eval_macro_specificity": 0.9822275271243499,
      "eval_precision": 0.7628875217070834,
      "eval_precision_macro": 0.6705561723407458,
      "eval_recall": 0.7668474051123161,
      "eval_recall_macro": 0.6719396221017415,
      "eval_runtime": 285.4858,
      "eval_samples_per_second": 4.522,
      "eval_steps_per_second": 2.263,
      "eval_weighted_fpr": 0.021255561047948592,
      "eval_weighted_sensitivity": 0.7668474051123161,
      "eval_weighted_specificity": 0.9665655017529341,
      "step": 30828
    },
    {
      "epoch": 12.07,
      "learning_rate": 2.990073958738809e-05,
      "loss": 0.518,
      "step": 31000
    },
    {
      "epoch": 12.26,
      "learning_rate": 2.9577007914882577e-05,
      "loss": 0.3736,
      "step": 31500
    },
    {
      "epoch": 12.46,
      "learning_rate": 2.9252627481510315e-05,
      "loss": 0.4537,
      "step": 32000
    },
    {
      "epoch": 12.65,
      "learning_rate": 2.892824704813806e-05,
      "loss": 0.5017,
      "step": 32500
    },
    {
      "epoch": 12.85,
      "learning_rate": 2.86038666147658e-05,
      "loss": 0.523,
      "step": 33000
    },
    {
      "epoch": 13.0,
      "eval_accuracy": 0.7652982184353214,
      "eval_f1_macro": 0.7065905031891068,
      "eval_f1_micro": 0.7652982184353214,
      "eval_f1_weighted": 0.7533906957445078,
      "eval_loss": 1.7727322578430176,
      "eval_macro_fpr": 0.02260077041026825,
      "eval_macro_sensitivity": 0.6934075054851363,
      "eval_macro_specificity": 0.9820770689956008,
      "eval_precision": 0.7674159154971928,
      "eval_precision_macro": 0.8238391848974315,
      "eval_recall": 0.7652982184353214,
      "eval_recall_macro": 0.6934075054851363,
      "eval_runtime": 282.4043,
      "eval_samples_per_second": 4.571,
      "eval_steps_per_second": 2.288,
      "eval_weighted_fpr": 0.02143615139724089,
      "eval_weighted_sensitivity": 0.7652982184353214,
      "eval_weighted_specificity": 0.9658578164986904,
      "step": 33397
    },
    {
      "epoch": 13.04,
      "learning_rate": 2.8280134942260284e-05,
      "loss": 0.4438,
      "step": 33500
    },
    {
      "epoch": 13.23,
      "learning_rate": 2.7955754508888028e-05,
      "loss": 0.3444,
      "step": 34000
    },
    {
      "epoch": 13.43,
      "learning_rate": 2.7631374075515765e-05,
      "loss": 0.3751,
      "step": 34500
    },
    {
      "epoch": 13.62,
      "learning_rate": 2.730699364214351e-05,
      "loss": 0.3835,
      "step": 35000
    },
    {
      "epoch": 13.82,
      "learning_rate": 2.6982613208771247e-05,
      "loss": 0.3688,
      "step": 35500
    },
    {
      "epoch": 14.0,
      "eval_accuracy": 0.7792408985282726,
      "eval_f1_macro": 0.6960443476037717,
      "eval_f1_micro": 0.7792408985282726,
      "eval_f1_weighted": 0.7731313238375468,
      "eval_loss": 1.840445876121521,
      "eval_macro_fpr": 0.020905039822376084,
      "eval_macro_sensitivity": 0.6920728491541597,
      "eval_macro_specificity": 0.9831130726980227,
      "eval_precision": 0.7787988846597094,
      "eval_precision_macro": 0.7228983794850382,
      "eval_recall": 0.7792408985282726,
      "eval_recall_macro": 0.6920728491541597,
      "eval_runtime": 289.1315,
      "eval_samples_per_second": 4.465,
      "eval_steps_per_second": 2.234,
      "eval_weighted_fpr": 0.019834365648270583,
      "eval_weighted_sensitivity": 0.7792408985282726,
      "eval_weighted_specificity": 0.9674551919420677,
      "step": 35966
    },
    {
      "epoch": 14.01,
      "learning_rate": 2.665823277539899e-05,
      "loss": 0.3816,
      "step": 36000
    },
    {
      "epoch": 14.21,
      "learning_rate": 2.633385234202673e-05,
      "loss": 0.3767,
      "step": 36500
    },
    {
      "epoch": 14.4,
      "learning_rate": 2.6009471908654472e-05,
      "loss": 0.3859,
      "step": 37000
    },
    {
      "epoch": 14.6,
      "learning_rate": 2.5685091475282212e-05,
      "loss": 0.3066,
      "step": 37500
    },
    {
      "epoch": 14.79,
      "learning_rate": 2.5360711041909953e-05,
      "loss": 0.402,
      "step": 38000
    },
    {
      "epoch": 14.99,
      "learning_rate": 2.5036330608537694e-05,
      "loss": 0.2394,
      "step": 38500
    },
    {
      "epoch": 15.0,
      "eval_accuracy": 0.7815646785437645,
      "eval_f1_macro": 0.7230355619154473,
      "eval_f1_micro": 0.7815646785437644,
      "eval_f1_weighted": 0.7765270107358122,
      "eval_loss": 1.7884501218795776,
      "eval_macro_fpr": 0.020978052492475165,
      "eval_macro_sensitivity": 0.711481022624799,
      "eval_macro_specificity": 0.9829555212885144,
      "eval_precision": 0.7809140931231899,
      "eval_precision_macro": 0.7440727141565046,
      "eval_recall": 0.7815646785437645,
      "eval_recall_macro": 0.711481022624799,
      "eval_runtime": 286.1698,
      "eval_samples_per_second": 4.511,
      "eval_steps_per_second": 2.257,
      "eval_weighted_fpr": 0.01957245974458634,
      "eval_weighted_sensitivity": 0.7815646785437645,
      "eval_weighted_specificity": 0.9627681407839513,
      "step": 38535
    },
    {
      "epoch": 15.18,
      "learning_rate": 2.4711950175165434e-05,
      "loss": 0.4596,
      "step": 39000
    },
    {
      "epoch": 15.38,
      "learning_rate": 2.4387569741793175e-05,
      "loss": 0.5262,
      "step": 39500
    },
    {
      "epoch": 15.57,
      "learning_rate": 2.4063189308420915e-05,
      "loss": 0.4665,
      "step": 40000
    },
    {
      "epoch": 15.76,
      "learning_rate": 2.3738808875048656e-05,
      "loss": 0.3048,
      "step": 40500
    },
    {
      "epoch": 15.96,
      "learning_rate": 2.341572596340989e-05,
      "loss": 0.2734,
      "step": 41000
    },
    {
      "epoch": 16.0,
      "eval_accuracy": 0.7776917118512781,
      "eval_f1_macro": 0.7295133712588342,
      "eval_f1_micro": 0.7776917118512781,
      "eval_f1_weighted": 0.7776503309668394,
      "eval_loss": 1.8943842649459839,
      "eval_macro_fpr": 0.0202894340480138,
      "eval_macro_sensitivity": 0.7265129858866516,
      "eval_macro_specificity": 0.9833416395469147,
      "eval_precision": 0.787044263189245,
      "eval_precision_macro": 0.7538684462791384,
      "eval_recall": 0.7776917118512781,
      "eval_recall_macro": 0.7265129858866516,
      "eval_runtime": 289.6948,
      "eval_samples_per_second": 4.456,
      "eval_steps_per_second": 2.23,
      "eval_weighted_fpr": 0.02000976085895559,
      "eval_weighted_sensitivity": 0.7776917118512781,
      "eval_weighted_specificity": 0.9724328813524437,
      "step": 41104
    },
    {
      "epoch": 16.15,
      "learning_rate": 2.309134553003763e-05,
      "loss": 0.2378,
      "step": 41500
    },
    {
      "epoch": 16.35,
      "learning_rate": 2.276696509666537e-05,
      "loss": 0.2691,
      "step": 42000
    },
    {
      "epoch": 16.54,
      "learning_rate": 2.244258466329311e-05,
      "loss": 0.3306,
      "step": 42500
    },
    {
      "epoch": 16.74,
      "learning_rate": 2.211820422992085e-05,
      "loss": 0.2808,
      "step": 43000
    },
    {
      "epoch": 16.93,
      "learning_rate": 2.1794472557415336e-05,
      "loss": 0.4319,
      "step": 43500
    },
    {
      "epoch": 17.0,
      "eval_accuracy": 0.7885360185902401,
      "eval_f1_macro": 0.7269032248062757,
      "eval_f1_micro": 0.7885360185902401,
      "eval_f1_weighted": 0.7855493274616836,
      "eval_loss": 1.7744460105895996,
      "eval_macro_fpr": 0.01947959283678764,
      "eval_macro_sensitivity": 0.7319521995692674,
      "eval_macro_specificity": 0.9840228815937803,
      "eval_precision": 0.7847388778381785,
      "eval_precision_macro": 0.7247172757956307,
      "eval_recall": 0.7885360185902401,
      "eval_recall_macro": 0.7319521995692674,
      "eval_runtime": 288.2495,
      "eval_samples_per_second": 4.479,
      "eval_steps_per_second": 2.241,
      "eval_weighted_fpr": 0.018795180722891568,
      "eval_weighted_sensitivity": 0.7885360185902401,
      "eval_weighted_specificity": 0.9718072053164638,
      "step": 43673
    },
    {
      "epoch": 17.13,
      "learning_rate": 2.1470092124043077e-05,
      "loss": 0.1443,
      "step": 44000
    },
    {
      "epoch": 17.32,
      "learning_rate": 2.1145711690670818e-05,
      "loss": 0.3099,
      "step": 44500
    },
    {
      "epoch": 17.52,
      "learning_rate": 2.0821331257298558e-05,
      "loss": 0.2612,
      "step": 45000
    },
    {
      "epoch": 17.71,
      "learning_rate": 2.0496950823926302e-05,
      "loss": 0.1737,
      "step": 45500
    },
    {
      "epoch": 17.91,
      "learning_rate": 2.0173219151420787e-05,
      "loss": 0.2347,
      "step": 46000
    },
    {
      "epoch": 18.0,
      "eval_accuracy": 0.7412858249419055,
      "eval_f1_macro": 0.6825268580987619,
      "eval_f1_micro": 0.7412858249419055,
      "eval_f1_weighted": 0.7354314259956967,
      "eval_loss": 2.0036449432373047,
      "eval_macro_fpr": 0.025493876443533448,
      "eval_macro_sensitivity": 0.6799085681343341,
      "eval_macro_specificity": 0.980067466354203,
      "eval_precision": 0.7352104687796146,
      "eval_precision_macro": 0.6933956510787752,
      "eval_recall": 0.7412858249419055,
      "eval_recall_macro": 0.6799085681343341,
      "eval_runtime": 284.7586,
      "eval_samples_per_second": 4.534,
      "eval_steps_per_second": 2.269,
      "eval_weighted_fpr": 0.024322749781532187,
      "eval_weighted_sensitivity": 0.7412858249419055,
      "eval_weighted_specificity": 0.9597261703711405,
      "step": 46242
    },
    {
      "epoch": 18.1,
      "learning_rate": 1.9848838718048528e-05,
      "loss": 0.2375,
      "step": 46500
    },
    {
      "epoch": 18.3,
      "learning_rate": 1.952445828467627e-05,
      "loss": 0.1648,
      "step": 47000
    },
    {
      "epoch": 18.49,
      "learning_rate": 1.9200726612170754e-05,
      "loss": 0.1856,
      "step": 47500
    },
    {
      "epoch": 18.68,
      "learning_rate": 1.8876346178798494e-05,
      "loss": 0.3288,
      "step": 48000
    },
    {
      "epoch": 18.88,
      "learning_rate": 1.8551965745426235e-05,
      "loss": 0.1882,
      "step": 48500
    },
    {
      "epoch": 19.0,
      "eval_accuracy": 0.7815646785437645,
      "eval_f1_macro": 0.7224569664119563,
      "eval_f1_micro": 0.7815646785437644,
      "eval_f1_weighted": 0.7792243003941057,
      "eval_loss": 1.9297939538955688,
      "eval_macro_fpr": 0.020184156724894552,
      "eval_macro_sensitivity": 0.7261931252462459,
      "eval_macro_specificity": 0.9834902475280387,
      "eval_precision": 0.7803663621729094,
      "eval_precision_macro": 0.7242785000954916,
      "eval_recall": 0.7815646785437645,
      "eval_recall_macro": 0.7261931252462459,
      "eval_runtime": 290.7761,
      "eval_samples_per_second": 4.44,
      "eval_steps_per_second": 2.222,
      "eval_weighted_fpr": 0.01957245974458634,
      "eval_weighted_sensitivity": 0.7815646785437645,
      "eval_weighted_specificity": 0.9707890343768164,
      "step": 48811
    },
    {
      "epoch": 19.07,
      "learning_rate": 1.8227585312053975e-05,
      "loss": 0.2023,
      "step": 49000
    },
    {
      "epoch": 19.27,
      "learning_rate": 1.7903204878681716e-05,
      "loss": 0.1941,
      "step": 49500
    },
    {
      "epoch": 19.46,
      "learning_rate": 1.757882444530946e-05,
      "loss": 0.1347,
      "step": 50000
    },
    {
      "epoch": 19.66,
      "learning_rate": 1.72544440119372e-05,
      "loss": 0.1518,
      "step": 50500
    },
    {
      "epoch": 19.85,
      "learning_rate": 1.693006357856494e-05,
      "loss": 0.1799,
      "step": 51000
    },
    {
      "epoch": 20.0,
      "eval_accuracy": 0.7792408985282726,
      "eval_f1_macro": 0.7242164682622322,
      "eval_f1_micro": 0.7792408985282726,
      "eval_f1_weighted": 0.77792735433031,
      "eval_loss": 1.9687796831130981,
      "eval_macro_fpr": 0.020494577008212903,
      "eval_macro_sensitivity": 0.7343346620007255,
      "eval_macro_specificity": 0.9833745449065493,
      "eval_precision": 0.7891902482075702,
      "eval_precision_macro": 0.7312255238513404,
      "eval_recall": 0.7792408985282726,
      "eval_recall_macro": 0.7343346620007255,
      "eval_runtime": 285.0268,
      "eval_samples_per_second": 4.529,
      "eval_steps_per_second": 2.266,
      "eval_weighted_fpr": 0.019834365648270583,
      "eval_weighted_sensitivity": 0.7792408985282726,
      "eval_weighted_specificity": 0.9713772750699678,
      "step": 51380
    },
    {
      "epoch": 20.05,
      "learning_rate": 1.660568314519268e-05,
      "loss": 0.1389,
      "step": 51500
    },
    {
      "epoch": 20.24,
      "learning_rate": 1.6281302711820422e-05,
      "loss": 0.113,
      "step": 52000
    },
    {
      "epoch": 20.44,
      "learning_rate": 1.5956922278448163e-05,
      "loss": 0.1118,
      "step": 52500
    },
    {
      "epoch": 20.63,
      "learning_rate": 1.5632541845075907e-05,
      "loss": 0.1845,
      "step": 53000
    },
    {
      "epoch": 20.83,
      "learning_rate": 1.5308161411703647e-05,
      "loss": 0.1366,
      "step": 53500
    },
    {
      "epoch": 21.0,
      "eval_accuracy": 0.7846630518977536,
      "eval_f1_macro": 0.7265114805047838,
      "eval_f1_micro": 0.7846630518977536,
      "eval_f1_weighted": 0.7832740678095101,
      "eval_loss": 1.9910492897033691,
      "eval_macro_fpr": 0.019831051752647592,
      "eval_macro_sensitivity": 0.745505358404397,
      "eval_macro_specificity": 0.9838452330123495,
      "eval_precision": 0.784616464055549,
      "eval_precision_macro": 0.7147611761715634,
      "eval_recall": 0.7846630518977536,
      "eval_recall_macro": 0.745505358404397,
      "eval_runtime": 290.3707,
      "eval_samples_per_second": 4.446,
      "eval_steps_per_second": 2.225,
      "eval_weighted_fpr": 0.01922544951590595,
      "eval_weighted_sensitivity": 0.7846630518977536,
      "eval_weighted_specificity": 0.9730154432874895,
      "step": 53949
    },
    {
      "epoch": 21.02,
      "learning_rate": 1.4984429739198132e-05,
      "loss": 0.2057,
      "step": 54000
    },
    {
      "epoch": 21.21,
      "learning_rate": 1.4660049305825873e-05,
      "loss": 0.1708,
      "step": 54500
    },
    {
      "epoch": 21.41,
      "learning_rate": 1.4335668872453614e-05,
      "loss": 0.084,
      "step": 55000
    },
    {
      "epoch": 21.6,
      "learning_rate": 1.4011288439081354e-05,
      "loss": 0.1225,
      "step": 55500
    },
    {
      "epoch": 21.8,
      "learning_rate": 1.3686908005709095e-05,
      "loss": 0.1008,
      "step": 56000
    },
    {
      "epoch": 21.99,
      "learning_rate": 1.3362527572336835e-05,
      "loss": 0.1793,
      "step": 56500
    },
    {
      "epoch": 22.0,
      "eval_accuracy": 0.7629744384198296,
      "eval_f1_macro": 0.714971434368363,
      "eval_f1_micro": 0.7629744384198296,
      "eval_f1_weighted": 0.7582223914248779,
      "eval_loss": 2.2548303604125977,
      "eval_macro_fpr": 0.02295397517276209,
      "eval_macro_sensitivity": 0.7272583059978417,
      "eval_macro_specificity": 0.9817539896299595,
      "eval_precision": 0.7648005911254243,
      "eval_precision_macro": 0.7150489472675985,
      "eval_recall": 0.7629744384198296,
      "eval_recall_macro": 0.7272583059978417,
      "eval_runtime": 352.8043,
      "eval_samples_per_second": 3.659,
      "eval_steps_per_second": 1.831,
      "eval_weighted_fpr": 0.021708286038592508,
      "eval_weighted_sensitivity": 0.7629744384198296,
      "eval_weighted_specificity": 0.9633354060295618,
      "step": 56518
    },
    {
      "epoch": 22.19,
      "learning_rate": 1.303814713896458e-05,
      "loss": 0.1293,
      "step": 57000
    },
    {
      "epoch": 22.38,
      "learning_rate": 1.271376670559232e-05,
      "loss": 0.1532,
      "step": 57500
    },
    {
      "epoch": 22.58,
      "learning_rate": 1.2390035033086805e-05,
      "loss": 0.2066,
      "step": 58000
    },
    {
      "epoch": 22.77,
      "learning_rate": 1.2065654599714546e-05,
      "loss": 0.1326,
      "step": 58500
    },
    {
      "epoch": 22.97,
      "learning_rate": 1.174192292720903e-05,
      "loss": 0.1749,
      "step": 59000
    },
    {
      "epoch": 23.0,
      "eval_accuracy": 0.7815646785437645,
      "eval_f1_macro": 0.7289459925102588,
      "eval_f1_micro": 0.7815646785437644,
      "eval_f1_weighted": 0.7773605214390553,
      "eval_loss": 2.1108603477478027,
      "eval_macro_fpr": 0.02054851528566883,
      "eval_macro_sensitivity": 0.7230322921449998,
      "eval_macro_specificity": 0.9833739271591507,
      "eval_precision": 0.7767807321927734,
      "eval_precision_macro": 0.7466305539706889,
      "eval_recall": 0.7815646785437645,
      "eval_recall_macro": 0.7230322921449998,
      "eval_runtime": 297.526,
      "eval_samples_per_second": 4.339,
      "eval_steps_per_second": 2.171,
      "eval_weighted_fpr": 0.01957245974458634,
      "eval_weighted_sensitivity": 0.7815646785437645,
      "eval_weighted_specificity": 0.9690442288434956,
      "step": 59087
    },
    {
      "epoch": 23.16,
      "learning_rate": 1.1417542493836771e-05,
      "loss": 0.1763,
      "step": 59500
    },
    {
      "epoch": 23.36,
      "learning_rate": 1.1093162060464514e-05,
      "loss": 0.1039,
      "step": 60000
    },
    {
      "epoch": 23.55,
      "learning_rate": 1.0768781627092254e-05,
      "loss": 0.1895,
      "step": 60500
    },
    {
      "epoch": 23.74,
      "learning_rate": 1.0444401193719995e-05,
      "loss": 0.1544,
      "step": 61000
    },
    {
      "epoch": 23.94,
      "learning_rate": 1.0120020760347735e-05,
      "loss": 0.1154,
      "step": 61500
    },
    {
      "epoch": 24.0,
      "eval_accuracy": 0.7877614252517429,
      "eval_f1_macro": 0.7331374609108605,
      "eval_f1_micro": 0.7877614252517429,
      "eval_f1_weighted": 0.7827775199528373,
      "eval_loss": 2.0637075901031494,
      "eval_macro_fpr": 0.019584306852913787,
      "eval_macro_sensitivity": 0.7268862975255689,
      "eval_macro_specificity": 0.9839707825927626,
      "eval_precision": 0.7836989509025826,
      "eval_precision_macro": 0.7590439050861235,
      "eval_recall": 0.7877614252517429,
      "eval_recall_macro": 0.7268862975255689,
      "eval_runtime": 293.3276,
      "eval_samples_per_second": 4.401,
      "eval_steps_per_second": 2.202,
      "eval_weighted_fpr": 0.01888092613009923,
      "eval_weighted_sensitivity": 0.7877614252517429,
      "eval_weighted_specificity": 0.9718003136396952,
      "step": 61656
    },
    {
      "epoch": 24.13,
      "learning_rate": 9.795640326975478e-06,
      "loss": 0.1484,
      "step": 62000
    },
    {
      "epoch": 24.33,
      "learning_rate": 9.471259893603218e-06,
      "loss": 0.1147,
      "step": 62500
    },
    {
      "epoch": 24.52,
      "learning_rate": 9.146879460230959e-06,
      "loss": 0.1212,
      "step": 63000
    },
    {
      "epoch": 24.72,
      "learning_rate": 8.822499026858701e-06,
      "loss": 0.0781,
      "step": 63500
    },
    {
      "epoch": 24.91,
      "learning_rate": 8.498767354353186e-06,
      "loss": 0.1447,
      "step": 64000
    },
    {
      "epoch": 25.0,
      "eval_accuracy": 0.7916343919442292,
      "eval_f1_macro": 0.7408195079003096,
      "eval_f1_micro": 0.7916343919442292,
      "eval_f1_weighted": 0.7861355334433522,
      "eval_loss": 2.0027315616607666,
      "eval_macro_fpr": 0.019407099074489707,
      "eval_macro_sensitivity": 0.7299369476165393,
      "eval_macro_specificity": 0.984089840852184,
      "eval_precision": 0.7857715570004769,
      "eval_precision_macro": 0.7750096561329829,
      "eval_recall": 0.7916343919442292,
      "eval_recall_macro": 0.7299369476165393,
      "eval_runtime": 300.7258,
      "eval_samples_per_second": 4.293,
      "eval_steps_per_second": 2.148,
      "eval_weighted_fpr": 0.01845372847636688,
      "eval_weighted_sensitivity": 0.7916343919442292,
      "eval_weighted_specificity": 0.9697132208385308,
      "step": 64225
    },
    {
      "epoch": 25.11,
      "learning_rate": 8.174386920980927e-06,
      "loss": 0.1036,
      "step": 64500
    },
    {
      "epoch": 25.3,
      "learning_rate": 7.850006487608667e-06,
      "loss": 0.1165,
      "step": 65000
    },
    {
      "epoch": 25.5,
      "learning_rate": 7.52562605423641e-06,
      "loss": 0.0632,
      "step": 65500
    },
    {
      "epoch": 25.69,
      "learning_rate": 7.20124562086415e-06,
      "loss": 0.1215,
      "step": 66000
    },
    {
      "epoch": 25.89,
      "learning_rate": 6.876865187491891e-06,
      "loss": 0.0806,
      "step": 66500
    },
    {
      "epoch": 26.0,
      "eval_accuracy": 0.7885360185902401,
      "eval_f1_macro": 0.7118193374018945,
      "eval_f1_micro": 0.7885360185902401,
      "eval_f1_weighted": 0.7839622559886584,
      "eval_loss": 2.077707529067993,
      "eval_macro_fpr": 0.019568063989489137,
      "eval_macro_sensitivity": 0.713410599172433,
      "eval_macro_specificity": 0.9840056220595941,
      "eval_precision": 0.783060971098355,
      "eval_precision_macro": 0.7162166073441082,
      "eval_recall": 0.7885360185902401,
      "eval_recall_macro": 0.713410599172433,
      "eval_runtime": 293.3091,
      "eval_samples_per_second": 4.401,
      "eval_steps_per_second": 2.202,
      "eval_weighted_fpr": 0.018795180722891568,
      "eval_weighted_sensitivity": 0.7885360185902401,
      "eval_weighted_specificity": 0.9715483123036702,
      "step": 66794
    },
    {
      "epoch": 26.08,
      "learning_rate": 6.552484754119632e-06,
      "loss": 0.0969,
      "step": 67000
    },
    {
      "epoch": 26.27,
      "learning_rate": 6.228104320747373e-06,
      "loss": 0.1048,
      "step": 67500
    },
    {
      "epoch": 26.47,
      "learning_rate": 5.904372648241859e-06,
      "loss": 0.1223,
      "step": 68000
    },
    {
      "epoch": 26.66,
      "learning_rate": 5.5799922148695995e-06,
      "loss": 0.079,
      "step": 68500
    },
    {
      "epoch": 26.86,
      "learning_rate": 5.25561178149734e-06,
      "loss": 0.0407,
      "step": 69000
    },
    {
      "epoch": 27.0,
      "eval_accuracy": 0.7885360185902401,
      "eval_f1_macro": 0.710517336505339,
      "eval_f1_micro": 0.7885360185902401,
      "eval_f1_weighted": 0.7866391697664283,
      "eval_loss": 2.175379991531372,
      "eval_macro_fpr": 0.01935082910687802,
      "eval_macro_sensitivity": 0.7079594722658412,
      "eval_macro_specificity": 0.9840709457196527,
      "eval_precision": 0.7862704372568858,
      "eval_precision_macro": 0.7192207626055576,
      "eval_recall": 0.7885360185902401,
      "eval_recall_macro": 0.7079594722658412,
      "eval_runtime": 323.9439,
      "eval_samples_per_second": 3.985,
      "eval_steps_per_second": 1.994,
      "eval_weighted_fpr": 0.018795180722891568,
      "eval_weighted_sensitivity": 0.7885360185902401,
      "eval_weighted_specificity": 0.9725281672045502,
      "step": 69363
    },
    {
      "epoch": 27.05,
      "learning_rate": 4.931880108991826e-06,
      "loss": 0.144,
      "step": 69500
    },
    {
      "epoch": 27.25,
      "learning_rate": 4.6074996756195675e-06,
      "loss": 0.1027,
      "step": 70000
    },
    {
      "epoch": 27.44,
      "learning_rate": 4.283119242247308e-06,
      "loss": 0.0783,
      "step": 70500
    },
    {
      "epoch": 27.64,
      "learning_rate": 3.958738808875049e-06,
      "loss": 0.1075,
      "step": 71000
    },
    {
      "epoch": 27.83,
      "learning_rate": 3.63435837550279e-06,
      "loss": 0.0701,
      "step": 71500
    },
    {
      "epoch": 28.0,
      "eval_accuracy": 0.7823392718822618,
      "eval_f1_macro": 0.7065654727253492,
      "eval_f1_micro": 0.7823392718822618,
      "eval_f1_weighted": 0.7810038357002493,
      "eval_loss": 2.1577563285827637,
      "eval_macro_fpr": 0.020110114145651264,
      "eval_macro_sensitivity": 0.7096633019016597,
      "eval_macro_specificity": 0.9835831643616377,
      "eval_precision": 0.7816909903991323,
      "eval_precision_macro": 0.7129613601879862,
      "eval_recall": 0.7823392718822618,
      "eval_recall_macro": 0.7096633019016597,
      "eval_runtime": 309.7699,
      "eval_samples_per_second": 4.168,
      "eval_steps_per_second": 2.085,
      "eval_weighted_fpr": 0.019485472574717427,
      "eval_weighted_sensitivity": 0.7823392718822618,
      "eval_weighted_specificity": 0.9714081935423033,
      "step": 71932
    },
    {
      "epoch": 28.03,
      "learning_rate": 3.3099779421305306e-06,
      "loss": 0.0839,
      "step": 72000
    },
    {
      "epoch": 28.22,
      "learning_rate": 2.986246269625016e-06,
      "loss": 0.0878,
      "step": 72500
    },
    {
      "epoch": 28.42,
      "learning_rate": 2.6618658362527576e-06,
      "loss": 0.0574,
      "step": 73000
    },
    {
      "epoch": 28.61,
      "learning_rate": 2.3374854028804986e-06,
      "loss": 0.0807,
      "step": 73500
    },
    {
      "epoch": 28.8,
      "learning_rate": 2.0131049695082392e-06,
      "loss": 0.0909,
      "step": 74000
    },
    {
      "epoch": 29.0,
      "learning_rate": 1.6887245361359802e-06,
      "loss": 0.1034,
      "step": 74500
    },
    {
      "epoch": 29.0,
      "eval_accuracy": 0.78001549186677,
      "eval_f1_macro": 0.7063839754791109,
      "eval_f1_micro": 0.78001549186677,
      "eval_f1_weighted": 0.778480865627508,
      "eval_loss": 2.213203191757202,
      "eval_macro_fpr": 0.020340341198432747,
      "eval_macro_sensitivity": 0.7043594983806052,
      "eval_macro_specificity": 0.9834222624437919,
      "eval_precision": 0.7788510250837947,
      "eval_precision_macro": 0.7162913991417985,
      "eval_recall": 0.78001549186677,
      "eval_recall_macro": 0.7043594983806052,
      "eval_runtime": 356.7589,
      "eval_samples_per_second": 3.619,
      "eval_steps_per_second": 1.811,
      "eval_weighted_fpr": 0.0197469058545404,
      "eval_weighted_sensitivity": 0.78001549186677,
      "eval_weighted_specificity": 0.971318444790108,
      "step": 74501
    },
    {
      "epoch": 29.19,
      "learning_rate": 1.3643441027637214e-06,
      "loss": 0.0292,
      "step": 75000
    },
    {
      "epoch": 29.39,
      "learning_rate": 1.0399636693914622e-06,
      "loss": 0.0937,
      "step": 75500
    },
    {
      "epoch": 29.58,
      "learning_rate": 7.155832360192033e-07,
      "loss": 0.1159,
      "step": 76000
    },
    {
      "epoch": 29.78,
      "learning_rate": 3.9185156351368886e-07,
      "loss": 0.1325,
      "step": 76500
    },
    {
      "epoch": 29.97,
      "learning_rate": 6.747113014142988e-08,
      "loss": 0.0388,
      "step": 77000
    },
    {
      "epoch": 30.0,
      "eval_accuracy": 0.7823392718822618,
      "eval_f1_macro": 0.708030615398878,
      "eval_f1_micro": 0.7823392718822618,
      "eval_f1_weighted": 0.780149605946002,
      "eval_loss": 2.183318853378296,
      "eval_macro_fpr": 0.020101371906798372,
      "eval_macro_sensitivity": 0.7056009725554542,
      "eval_macro_specificity": 0.9835845291455382,
      "eval_precision": 0.7806128914771521,
      "eval_precision_macro": 0.7201007317849041,
      "eval_recall": 0.7823392718822618,
      "eval_recall_macro": 0.7056009725554542,
      "eval_runtime": 331.848,
      "eval_samples_per_second": 3.89,
      "eval_steps_per_second": 1.947,
      "eval_weighted_fpr": 0.019485472574717427,
      "eval_weighted_sensitivity": 0.7823392718822618,
      "eval_weighted_specificity": 0.971428665300812,
      "step": 77070
    }
  ],
  "logging_steps": 500,
  "max_steps": 77070,
  "num_train_epochs": 30,
  "save_steps": 500,
  "total_flos": 1.6752303660201984e+17,
  "trial_name": null,
  "trial_params": null
}