{
  "best_metric": 0.6764229637898442,
  "best_model_checkpoint": "case-analysis-legal-bert-base-uncased/checkpoint-2464",
  "epoch": 28.0,
  "eval_steps": 500,
  "global_step": 6272,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6570155902004454,
      "eval_f1_macro": 0.4081263564022185,
      "eval_f1_micro": 0.6570155902004454,
      "eval_f1_weighted": 0.6166399839312825,
      "eval_loss": 1.0114229917526245,
      "eval_macro_fpr": 0.19475132363363487,
      "eval_macro_sensitivity": 0.40746667217255456,
      "eval_macro_specificity": 0.8324392236563901,
      "eval_precision": 0.6178816225558943,
      "eval_precision_macro": 0.4664000256488353,
      "eval_recall": 0.6570155902004454,
      "eval_recall_macro": 0.40746667217255456,
      "eval_runtime": 7.3199,
      "eval_samples_per_second": 61.34,
      "eval_steps_per_second": 7.787,
      "eval_weighted_fpr": 0.1482194417709336,
      "eval_weighted_sensitivity": 0.6570155902004454,
      "eval_weighted_specificity": 0.6727413044251147,
      "step": 224
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7750556792873051,
      "eval_f1_macro": 0.5658663855845003,
      "eval_f1_micro": 0.775055679287305,
      "eval_f1_weighted": 0.7564492543508543,
      "eval_loss": 0.764952540397644,
      "eval_macro_fpr": 0.10943701020063132,
      "eval_macro_sensitivity": 0.5805958747135218,
      "eval_macro_specificity": 0.9039084791647444,
      "eval_precision": 0.7425093237919278,
      "eval_precision_macro": 0.5566158325717437,
      "eval_recall": 0.7750556792873051,
      "eval_recall_macro": 0.5805958747135218,
      "eval_runtime": 30.7218,
      "eval_samples_per_second": 14.615,
      "eval_steps_per_second": 1.855,
      "eval_weighted_fpr": 0.08820960698689956,
      "eval_weighted_sensitivity": 0.7750556792873051,
      "eval_weighted_specificity": 0.8405782373716723,
      "step": 448
    },
    {
      "epoch": 2.232142857142857,
      "grad_norm": 9.53757095336914,
      "learning_rate": 4.631696428571429e-05,
      "loss": 0.7677,
      "step": 500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7817371937639198,
      "eval_f1_macro": 0.5707248076329534,
      "eval_f1_micro": 0.7817371937639198,
      "eval_f1_weighted": 0.7678448816993292,
      "eval_loss": 0.7341566681861877,
      "eval_macro_fpr": 0.10409605667370833,
      "eval_macro_sensitivity": 0.5967117805353099,
      "eval_macro_specificity": 0.9083046086144851,
      "eval_precision": 0.7694906286035585,
      "eval_precision_macro": 0.5673619923602318,
      "eval_recall": 0.7817371937639198,
      "eval_recall_macro": 0.5967117805353099,
      "eval_runtime": 32.9882,
      "eval_samples_per_second": 13.611,
      "eval_steps_per_second": 1.728,
      "eval_weighted_fpr": 0.08514335360556038,
      "eval_weighted_sensitivity": 0.7817371937639198,
      "eval_weighted_specificity": 0.8514812406940205,
      "step": 672
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8173719376391982,
      "eval_f1_macro": 0.5903876477694423,
      "eval_f1_micro": 0.8173719376391981,
      "eval_f1_weighted": 0.7920921547144288,
      "eval_loss": 0.7967568635940552,
      "eval_macro_fpr": 0.09654289346260755,
      "eval_macro_sensitivity": 0.5892796922208687,
      "eval_macro_specificity": 0.9135512326349768,
      "eval_precision": 0.776630887817645,
      "eval_precision_macro": 0.6035747039094435,
      "eval_recall": 0.8173719376391982,
      "eval_recall_macro": 0.5892796922208687,
      "eval_runtime": 31.5737,
      "eval_samples_per_second": 14.221,
      "eval_steps_per_second": 1.805,
      "eval_weighted_fpr": 0.06931530008453085,
      "eval_weighted_sensitivity": 0.8173719376391982,
      "eval_weighted_specificity": 0.836832992900709,
      "step": 896
    },
    {
      "epoch": 4.464285714285714,
      "grad_norm": 0.4865407943725586,
      "learning_rate": 4.260416666666667e-05,
      "loss": 0.482,
      "step": 1000
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8084632516703786,
      "eval_f1_macro": 0.6140549414742963,
      "eval_f1_micro": 0.8084632516703786,
      "eval_f1_weighted": 0.7940411816552344,
      "eval_loss": 0.8170605301856995,
      "eval_macro_fpr": 0.09903328320796416,
      "eval_macro_sensitivity": 0.6038384641325818,
      "eval_macro_specificity": 0.9107621964110777,
      "eval_precision": 0.7852994506060567,
      "eval_precision_macro": 0.6365555789178582,
      "eval_recall": 0.8084632516703786,
      "eval_recall_macro": 0.6038384641325818,
      "eval_runtime": 33.691,
      "eval_samples_per_second": 13.327,
      "eval_steps_per_second": 1.692,
      "eval_weighted_fpr": 0.07319148936170213,
      "eval_weighted_sensitivity": 0.8084632516703786,
      "eval_weighted_specificity": 0.8345855339739323,
      "step": 1120
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8240534521158129,
      "eval_f1_macro": 0.6314846316884821,
      "eval_f1_micro": 0.8240534521158129,
      "eval_f1_weighted": 0.8083544635272152,
      "eval_loss": 0.8909738659858704,
      "eval_macro_fpr": 0.087529695086195,
      "eval_macro_sensitivity": 0.6358500402618049,
      "eval_macro_specificity": 0.9211652121242622,
      "eval_precision": 0.8028335761470152,
      "eval_precision_macro": 0.6659870176540079,
      "eval_recall": 0.8240534521158129,
      "eval_recall_macro": 0.6358500402618049,
      "eval_runtime": 32.5936,
      "eval_samples_per_second": 13.776,
      "eval_steps_per_second": 1.749,
      "eval_weighted_fpr": 0.06644238856181665,
      "eval_weighted_sensitivity": 0.8240534521158129,
      "eval_weighted_specificity": 0.8606073963812356,
      "step": 1344
    },
    {
      "epoch": 6.696428571428571,
      "grad_norm": 24.31475257873535,
      "learning_rate": 3.888392857142857e-05,
      "loss": 0.2993,
      "step": 1500
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.8040089086859689,
      "eval_f1_macro": 0.6741993002516824,
      "eval_f1_micro": 0.8040089086859689,
      "eval_f1_weighted": 0.8067155865282774,
      "eval_loss": 1.0094465017318726,
      "eval_macro_fpr": 0.08913550870826559,
      "eval_macro_sensitivity": 0.6773721773721774,
      "eval_macro_specificity": 0.9217242184731483,
      "eval_precision": 0.8108961670502116,
      "eval_precision_macro": 0.6741723864688478,
      "eval_recall": 0.8040089086859689,
      "eval_recall_macro": 0.6773721773721774,
      "eval_runtime": 33.2368,
      "eval_samples_per_second": 13.509,
      "eval_steps_per_second": 1.715,
      "eval_weighted_fpr": 0.07514944491887275,
      "eval_weighted_sensitivity": 0.8040089086859689,
      "eval_weighted_specificity": 0.8828879652066246,
      "step": 1568
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.8106904231625836,
      "eval_f1_macro": 0.6229381248976396,
      "eval_f1_micro": 0.8106904231625834,
      "eval_f1_weighted": 0.8016368957819484,
      "eval_loss": 1.1504098176956177,
      "eval_macro_fpr": 0.089652400577408,
      "eval_macro_sensitivity": 0.6330299933241109,
      "eval_macro_specificity": 0.9203722429802373,
      "eval_precision": 0.7967862579587831,
      "eval_precision_macro": 0.6227581659565835,
      "eval_recall": 0.8106904231625836,
      "eval_recall_macro": 0.6330299933241109,
      "eval_runtime": 36.2257,
      "eval_samples_per_second": 12.395,
      "eval_steps_per_second": 1.573,
      "eval_weighted_fpr": 0.07221750212404418,
      "eval_weighted_sensitivity": 0.8106904231625836,
      "eval_weighted_specificity": 0.8707985487583659,
      "step": 1792
    },
    {
      "epoch": 8.928571428571429,
      "grad_norm": 0.21054323017597198,
      "learning_rate": 3.516369047619048e-05,
      "loss": 0.1367,
      "step": 2000
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.8062360801781737,
      "eval_f1_macro": 0.6359771704966781,
      "eval_f1_micro": 0.8062360801781738,
      "eval_f1_weighted": 0.8044711013673843,
      "eval_loss": 1.2533091306686401,
      "eval_macro_fpr": 0.09482503678094849,
      "eval_macro_sensitivity": 0.6224819165995636,
      "eval_macro_specificity": 0.9164236762016751,
      "eval_precision": 0.8059392062620114,
      "eval_precision_macro": 0.6536979385970869,
      "eval_recall": 0.8062360801781737,
      "eval_recall_macro": 0.6224819165995636,
      "eval_runtime": 30.7582,
      "eval_samples_per_second": 14.598,
      "eval_steps_per_second": 1.853,
      "eval_weighted_fpr": 0.0741687979539642,
      "eval_weighted_sensitivity": 0.8062360801781737,
      "eval_weighted_specificity": 0.8594586246285271,
      "step": 2016
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.8173719376391982,
      "eval_f1_macro": 0.6554404393882288,
      "eval_f1_micro": 0.8173719376391981,
      "eval_f1_weighted": 0.8137262031233367,
      "eval_loss": 1.2516238689422607,
      "eval_macro_fpr": 0.08727001865560947,
      "eval_macro_sensitivity": 0.649889194006841,
      "eval_macro_specificity": 0.9218678293458737,
      "eval_precision": 0.8106611480963274,
      "eval_precision_macro": 0.6620602008894919,
      "eval_recall": 0.8173719376391982,
      "eval_recall_macro": 0.649889194006841,
      "eval_runtime": 34.0534,
      "eval_samples_per_second": 13.185,
      "eval_steps_per_second": 1.674,
      "eval_weighted_fpr": 0.06931530008453085,
      "eval_weighted_sensitivity": 0.8173719376391982,
      "eval_weighted_specificity": 0.8700993797442969,
      "step": 2240
    },
    {
      "epoch": 11.0,
      "eval_accuracy": 0.8262806236080178,
      "eval_f1_macro": 0.6764229637898442,
      "eval_f1_micro": 0.8262806236080178,
      "eval_f1_weighted": 0.819522907157828,
      "eval_loss": 1.3822201490402222,
      "eval_macro_fpr": 0.08329902302757192,
      "eval_macro_sensitivity": 0.669645007880302,
      "eval_macro_specificity": 0.9243474796823474,
      "eval_precision": 0.8204585488197453,
      "eval_precision_macro": 0.7084622597280825,
      "eval_recall": 0.8262806236080178,
      "eval_recall_macro": 0.669645007880302,
      "eval_runtime": 31.5236,
      "eval_samples_per_second": 14.243,
      "eval_steps_per_second": 1.808,
      "eval_weighted_fpr": 0.0654911838790932,
      "eval_weighted_sensitivity": 0.8262806236080178,
      "eval_weighted_specificity": 0.8711092951213717,
      "step": 2464
    },
    {
      "epoch": 11.160714285714286,
      "grad_norm": 2.0276401042938232,
      "learning_rate": 3.1443452380952384e-05,
      "loss": 0.055,
      "step": 2500
    },
    {
      "epoch": 12.0,
      "eval_accuracy": 0.8017817371937639,
      "eval_f1_macro": 0.6399377531674577,
      "eval_f1_micro": 0.8017817371937639,
      "eval_f1_weighted": 0.806834856085664,
      "eval_loss": 1.4574010372161865,
      "eval_macro_fpr": 0.0883315306539799,
      "eval_macro_sensitivity": 0.6443222252045782,
      "eval_macro_specificity": 0.9215573710717683,
      "eval_precision": 0.8127232508105453,
      "eval_precision_macro": 0.6368985338108845,
      "eval_recall": 0.8017817371937639,
      "eval_recall_macro": 0.6443222252045782,
      "eval_runtime": 35.9686,
      "eval_samples_per_second": 12.483,
      "eval_steps_per_second": 1.585,
      "eval_weighted_fpr": 0.07613344739093242,
      "eval_weighted_sensitivity": 0.8017817371937639,
      "eval_weighted_specificity": 0.884447747093309,
      "step": 2688
    },
    {
      "epoch": 13.0,
      "eval_accuracy": 0.7884187082405345,
      "eval_f1_macro": 0.6042489773120808,
      "eval_f1_micro": 0.7884187082405345,
      "eval_f1_weighted": 0.7831300624317719,
      "eval_loss": 1.6634190082550049,
      "eval_macro_fpr": 0.10018097159570645,
      "eval_macro_sensitivity": 0.6042144130379424,
      "eval_macro_specificity": 0.9125690965302461,
      "eval_precision": 0.7810481910770134,
      "eval_precision_macro": 0.6089900703871292,
      "eval_recall": 0.7884187082405345,
      "eval_recall_macro": 0.6042144130379424,
      "eval_runtime": 29.9493,
      "eval_samples_per_second": 14.992,
      "eval_steps_per_second": 1.903,
      "eval_weighted_fpr": 0.08210890233362143,
      "eval_weighted_sensitivity": 0.7884187082405345,
      "eval_weighted_specificity": 0.8618576778804495,
      "step": 2912
    },
    {
      "epoch": 13.392857142857142,
      "grad_norm": 0.00395896565169096,
      "learning_rate": 2.773809523809524e-05,
      "loss": 0.0431,
      "step": 3000
    },
    {
      "epoch": 14.0,
      "eval_accuracy": 0.8285077951002228,
      "eval_f1_macro": 0.6381695277501472,
      "eval_f1_micro": 0.8285077951002228,
      "eval_f1_weighted": 0.8165889625025802,
      "eval_loss": 1.5085251331329346,
      "eval_macro_fpr": 0.0849606439034177,
      "eval_macro_sensitivity": 0.6367413058589528,
      "eval_macro_specificity": 0.9229424414178813,
      "eval_precision": 0.8077049262727573,
      "eval_precision_macro": 0.6475977473768657,
      "eval_recall": 0.8285077951002228,
      "eval_recall_macro": 0.6367413058589528,
      "eval_runtime": 34.3243,
      "eval_samples_per_second": 13.081,
      "eval_steps_per_second": 1.661,
      "eval_weighted_fpr": 0.06454316848281642,
      "eval_weighted_sensitivity": 0.8285077951002228,
      "eval_weighted_specificity": 0.8632619705713027,
      "step": 3136
    },
    {
      "epoch": 15.0,
      "eval_accuracy": 0.8106904231625836,
      "eval_f1_macro": 0.6229362972793631,
      "eval_f1_micro": 0.8106904231625834,
      "eval_f1_weighted": 0.8013640427817921,
      "eval_loss": 1.641113042831421,
      "eval_macro_fpr": 0.09140135508148657,
      "eval_macro_sensitivity": 0.6261966703143174,
      "eval_macro_specificity": 0.9183149213614681,
      "eval_precision": 0.7935778228683108,
      "eval_precision_macro": 0.6242729514731414,
      "eval_recall": 0.8106904231625836,
      "eval_recall_macro": 0.6261966703143174,
      "eval_runtime": 35.8672,
      "eval_samples_per_second": 12.518,
      "eval_steps_per_second": 1.589,
      "eval_weighted_fpr": 0.07221750212404418,
      "eval_weighted_sensitivity": 0.8106904231625836,
      "eval_weighted_specificity": 0.8625692622832889,
      "step": 3360
    },
    {
      "epoch": 15.625,
      "grad_norm": 0.09424740076065063,
      "learning_rate": 2.4017857142857146e-05,
      "loss": 0.0135,
      "step": 3500
    },
    {
      "epoch": 16.0,
      "eval_accuracy": 0.8062360801781737,
      "eval_f1_macro": 0.6221390381080233,
      "eval_f1_micro": 0.8062360801781738,
      "eval_f1_weighted": 0.7988403583111869,
      "eval_loss": 1.7482596635818481,
      "eval_macro_fpr": 0.09232876528599361,
      "eval_macro_sensitivity": 0.6270887962064433,
      "eval_macro_specificity": 0.9177392895526978,
      "eval_precision": 0.7924673420177055,
      "eval_precision_macro": 0.6200610055562886,
      "eval_recall": 0.8062360801781737,
      "eval_recall_macro": 0.6270887962064433,
      "eval_runtime": 34.8393,
      "eval_samples_per_second": 12.888,
      "eval_steps_per_second": 1.636,
      "eval_weighted_fpr": 0.0741687979539642,
      "eval_weighted_sensitivity": 0.8062360801781737,
      "eval_weighted_specificity": 0.8647210780326176,
      "step": 3584
    },
    {
      "epoch": 17.0,
      "eval_accuracy": 0.7973273942093542,
      "eval_f1_macro": 0.6201227671521832,
      "eval_f1_micro": 0.7973273942093542,
      "eval_f1_weighted": 0.7932689879372665,
      "eval_loss": 1.7232707738876343,
      "eval_macro_fpr": 0.09423113155723643,
      "eval_macro_sensitivity": 0.6263480822304351,
      "eval_macro_specificity": 0.9163848671929355,
      "eval_precision": 0.789684456744836,
      "eval_precision_macro": 0.6147620506535948,
      "eval_recall": 0.7973273942093542,
      "eval_recall_macro": 0.6263480822304351,
      "eval_runtime": 36.3399,
      "eval_samples_per_second": 12.356,
      "eval_steps_per_second": 1.569,
      "eval_weighted_fpr": 0.07811158798283262,
      "eval_weighted_sensitivity": 0.7973273942093542,
      "eval_weighted_specificity": 0.8682120745623881,
      "step": 3808
    },
    {
      "epoch": 17.857142857142858,
      "grad_norm": 0.004108293913304806,
      "learning_rate": 2.029761904761905e-05,
      "loss": 0.0066,
      "step": 4000
    },
    {
      "epoch": 18.0,
      "eval_accuracy": 0.8240534521158129,
      "eval_f1_macro": 0.639053660901891,
      "eval_f1_micro": 0.8240534521158129,
      "eval_f1_weighted": 0.8115429423166062,
      "eval_loss": 1.6456769704818726,
      "eval_macro_fpr": 0.08791315651117829,
      "eval_macro_sensitivity": 0.6388214991156167,
      "eval_macro_specificity": 0.9190529442926627,
      "eval_precision": 0.8041665668829977,
      "eval_precision_macro": 0.6515456989247311,
      "eval_recall": 0.8240534521158129,
      "eval_recall_macro": 0.6388214991156167,
      "eval_runtime": 33.8794,
      "eval_samples_per_second": 13.253,
      "eval_steps_per_second": 1.682,
      "eval_weighted_fpr": 0.06644238856181665,
      "eval_weighted_sensitivity": 0.8240534521158129,
      "eval_weighted_specificity": 0.8521583250548381,
      "step": 4032
    },
    {
      "epoch": 19.0,
      "eval_accuracy": 0.8173719376391982,
      "eval_f1_macro": 0.6317989768305606,
      "eval_f1_micro": 0.8173719376391981,
      "eval_f1_weighted": 0.8060684012173893,
      "eval_loss": 1.6613563299179077,
      "eval_macro_fpr": 0.08645884522989711,
      "eval_macro_sensitivity": 0.6420174949586714,
      "eval_macro_specificity": 0.9219250663589891,
      "eval_precision": 0.7975558509149212,
      "eval_precision_macro": 0.632433998424945,
      "eval_recall": 0.8173719376391982,
      "eval_recall_macro": 0.6420174949586714,
      "eval_runtime": 37.7131,
      "eval_samples_per_second": 11.906,
      "eval_steps_per_second": 1.511,
      "eval_weighted_fpr": 0.06931530008453085,
      "eval_weighted_sensitivity": 0.8173719376391982,
      "eval_weighted_specificity": 0.8703283277967583,
      "step": 4256
    },
    {
      "epoch": 20.0,
      "eval_accuracy": 0.8129175946547884,
      "eval_f1_macro": 0.6462426038179767,
      "eval_f1_micro": 0.8129175946547884,
      "eval_f1_weighted": 0.8061306345778022,
      "eval_loss": 1.6996936798095703,
      "eval_macro_fpr": 0.08602473589055493,
      "eval_macro_sensitivity": 0.6576163634987164,
      "eval_macro_specificity": 0.9222151830917074,
      "eval_precision": 0.8023118936030428,
      "eval_precision_macro": 0.6435490147884151,
      "eval_recall": 0.8129175946547884,
      "eval_recall_macro": 0.6576163634987164,
      "eval_runtime": 37.8688,
      "eval_samples_per_second": 11.857,
      "eval_steps_per_second": 1.505,
      "eval_weighted_fpr": 0.07124681933842239,
      "eval_weighted_sensitivity": 0.8129175946547884,
      "eval_weighted_specificity": 0.8759431377120409,
      "step": 4480
    },
    {
      "epoch": 20.089285714285715,
      "grad_norm": 0.002192622981965542,
      "learning_rate": 1.6577380952380952e-05,
      "loss": 0.0067,
      "step": 4500
    },
    {
      "epoch": 21.0,
      "eval_accuracy": 0.821826280623608,
      "eval_f1_macro": 0.6355569862362493,
      "eval_f1_micro": 0.821826280623608,
      "eval_f1_weighted": 0.8087869169905122,
      "eval_loss": 1.6539603471755981,
      "eval_macro_fpr": 0.08801189704305487,
      "eval_macro_sensitivity": 0.6380050791815497,
      "eval_macro_specificity": 0.9194558785340451,
      "eval_precision": 0.8000265748396097,
      "eval_precision_macro": 0.6473497189944558,
      "eval_recall": 0.821826280623608,
      "eval_recall_macro": 0.6380050791815497,
      "eval_runtime": 34.1541,
      "eval_samples_per_second": 13.146,
      "eval_steps_per_second": 1.669,
      "eval_weighted_fpr": 0.06739679865206402,
      "eval_weighted_sensitivity": 0.821826280623608,
      "eval_weighted_specificity": 0.8559972335125722,
      "step": 4704
    },
    {
      "epoch": 22.0,
      "eval_accuracy": 0.8084632516703786,
      "eval_f1_macro": 0.6281503208041694,
      "eval_f1_micro": 0.8084632516703786,
      "eval_f1_weighted": 0.8011014788104702,
      "eval_loss": 1.7329360246658325,
      "eval_macro_fpr": 0.09298094942813835,
      "eval_macro_sensitivity": 0.6267171487759723,
      "eval_macro_specificity": 0.915807100650446,
      "eval_precision": 0.7945028295139653,
      "eval_precision_macro": 0.6312759462759463,
      "eval_recall": 0.8084632516703786,
      "eval_recall_macro": 0.6267171487759723,
      "eval_runtime": 35.4666,
      "eval_samples_per_second": 12.66,
      "eval_steps_per_second": 1.607,
      "eval_weighted_fpr": 0.07319148936170213,
      "eval_weighted_sensitivity": 0.8084632516703786,
      "eval_weighted_specificity": 0.8547651509314054,
      "step": 4928
    },
    {
      "epoch": 22.321428571428573,
      "grad_norm": 0.0013072589645162225,
      "learning_rate": 1.2857142857142857e-05,
      "loss": 0.0028,
      "step": 5000
    },
    {
      "epoch": 23.0,
      "eval_accuracy": 0.8062360801781737,
      "eval_f1_macro": 0.6388959517008297,
      "eval_f1_micro": 0.8062360801781738,
      "eval_f1_weighted": 0.803223061183841,
      "eval_loss": 1.794916033744812,
      "eval_macro_fpr": 0.09024980030498875,
      "eval_macro_sensitivity": 0.6419443698855464,
      "eval_macro_specificity": 0.9192667115733391,
      "eval_precision": 0.8004278433937325,
      "eval_precision_macro": 0.6365492158020651,
      "eval_recall": 0.8062360801781737,
      "eval_recall_macro": 0.6419443698855464,
      "eval_runtime": 39.8561,
      "eval_samples_per_second": 11.266,
      "eval_steps_per_second": 1.43,
      "eval_weighted_fpr": 0.0741687979539642,
      "eval_weighted_sensitivity": 0.8062360801781737,
      "eval_weighted_specificity": 0.8708307661151824,
      "step": 5152
    },
    {
      "epoch": 24.0,
      "eval_accuracy": 0.8084632516703786,
      "eval_f1_macro": 0.6404728172579244,
      "eval_f1_micro": 0.8084632516703786,
      "eval_f1_weighted": 0.8054233127781282,
      "eval_loss": 1.8085839748382568,
      "eval_macro_fpr": 0.08932689177363767,
      "eval_macro_sensitivity": 0.6429096208507973,
      "eval_macro_specificity": 0.9199871726684399,
      "eval_precision": 0.8025958010658311,
      "eval_precision_macro": 0.6387293155835355,
      "eval_recall": 0.8084632516703786,
      "eval_recall_macro": 0.6429096208507973,
      "eval_runtime": 48.4278,
      "eval_samples_per_second": 9.272,
      "eval_steps_per_second": 1.177,
      "eval_weighted_fpr": 0.07319148936170213,
      "eval_weighted_sensitivity": 0.8084632516703786,
      "eval_weighted_specificity": 0.8714854390033809,
      "step": 5376
    },
    {
      "epoch": 24.553571428571427,
      "grad_norm": 0.0007463924121111631,
      "learning_rate": 9.136904761904762e-06,
      "loss": 0.0001,
      "step": 5500
    },
    {
      "epoch": 25.0,
      "eval_accuracy": 0.8084632516703786,
      "eval_f1_macro": 0.628744939271255,
      "eval_f1_micro": 0.8084632516703786,
      "eval_f1_weighted": 0.8028068286185739,
      "eval_loss": 1.832601547241211,
      "eval_macro_fpr": 0.09342569864054004,
      "eval_macro_sensitivity": 0.6250825883178824,
      "eval_macro_specificity": 0.9155494538554513,
      "eval_precision": 0.7987920798501041,
      "eval_precision_macro": 0.6342881535692682,
      "eval_recall": 0.8084632516703786,
      "eval_recall_macro": 0.6250825883178824,
      "eval_runtime": 34.7107,
      "eval_samples_per_second": 12.935,
      "eval_steps_per_second": 1.642,
      "eval_weighted_fpr": 0.07319148936170213,
      "eval_weighted_sensitivity": 0.8084632516703786,
      "eval_weighted_specificity": 0.8537345637514266,
      "step": 5600
    },
    {
      "epoch": 26.0,
      "eval_accuracy": 0.8084632516703786,
      "eval_f1_macro": 0.628744939271255,
      "eval_f1_micro": 0.8084632516703786,
      "eval_f1_weighted": 0.8028068286185739,
      "eval_loss": 1.8394956588745117,
      "eval_macro_fpr": 0.09342569864054004,
      "eval_macro_sensitivity": 0.6250825883178824,
      "eval_macro_specificity": 0.9155494538554513,
      "eval_precision": 0.7987920798501041,
      "eval_precision_macro": 0.6342881535692682,
      "eval_recall": 0.8084632516703786,
      "eval_recall_macro": 0.6250825883178824,
      "eval_runtime": 36.1678,
      "eval_samples_per_second": 12.414,
      "eval_steps_per_second": 1.576,
      "eval_weighted_fpr": 0.07319148936170213,
      "eval_weighted_sensitivity": 0.8084632516703786,
      "eval_weighted_specificity": 0.8537345637514266,
      "step": 5824
    },
    {
      "epoch": 26.785714285714285,
      "grad_norm": 0.0006434154347516596,
      "learning_rate": 5.416666666666667e-06,
      "loss": 0.0003,
      "step": 6000
    },
    {
      "epoch": 27.0,
      "eval_accuracy": 0.8062360801781737,
      "eval_f1_macro": 0.6408238851095995,
      "eval_f1_micro": 0.8062360801781738,
      "eval_f1_weighted": 0.8046175678883284,
      "eval_loss": 1.8815580606460571,
      "eval_macro_fpr": 0.09199385822170791,
      "eval_macro_sensitivity": 0.6388240800005506,
      "eval_macro_specificity": 0.9170876404811131,
      "eval_precision": 0.8039431746503013,
      "eval_precision_macro": 0.643896918522022,
      "eval_recall": 0.8062360801781737,
      "eval_recall_macro": 0.6388240800005506,
      "eval_runtime": 37.6752,
      "eval_samples_per_second": 11.918,
      "eval_steps_per_second": 1.513,
      "eval_weighted_fpr": 0.0741687979539642,
      "eval_weighted_sensitivity": 0.8062360801781737,
      "eval_weighted_specificity": 0.8621144817462791,
      "step": 6048
    },
    {
      "epoch": 28.0,
      "eval_accuracy": 0.8062360801781737,
      "eval_f1_macro": 0.6408238851095995,
      "eval_f1_micro": 0.8062360801781738,
      "eval_f1_weighted": 0.8046175678883284,
      "eval_loss": 1.8955706357955933,
      "eval_macro_fpr": 0.09199385822170791,
      "eval_macro_sensitivity": 0.6388240800005506,
      "eval_macro_specificity": 0.9170876404811131,
      "eval_precision": 0.8039431746503013,
      "eval_precision_macro": 0.643896918522022,
      "eval_recall": 0.8062360801781737,
      "eval_recall_macro": 0.6388240800005506,
      "eval_runtime": 35.1848,
      "eval_samples_per_second": 12.761,
      "eval_steps_per_second": 1.62,
      "eval_weighted_fpr": 0.0741687979539642,
      "eval_weighted_sensitivity": 0.8062360801781737,
      "eval_weighted_specificity": 0.8621144817462791,
      "step": 6272
    }
  ],
  "logging_steps": 500,
  "max_steps": 6720,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 30,
  "save_steps": 500,
  "total_flos": 1.3202097382096896e+16,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}