{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 60.0,
  "global_step": 18720,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 0.07883936911821365,
      "eval_runtime": 4.3827,
      "eval_samples_per_second": 63.203,
      "eval_steps_per_second": 7.986,
      "step": 312
    },
    {
      "best_epoch": 0,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 1.0,
      "step": 312
    },
    {
      "epoch": 1.6,
      "learning_rate": 0.003893162393162393,
      "loss": 0.1715,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 0.2058744877576828,
      "eval_runtime": 4.4761,
      "eval_samples_per_second": 61.884,
      "eval_steps_per_second": 7.819,
      "step": 624
    },
    {
      "best_epoch": 0,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 2.0,
      "step": 624
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 0.11342689394950867,
      "eval_runtime": 4.4913,
      "eval_samples_per_second": 61.675,
      "eval_steps_per_second": 7.793,
      "step": 936
    },
    {
      "best_epoch": 0,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 3.0,
      "step": 936
    },
    {
      "epoch": 3.21,
      "learning_rate": 0.0037863247863247863,
      "loss": 0.1222,
      "step": 1000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.5342960288808665,
      "eval_loss": 0.08309175819158554,
      "eval_runtime": 4.5034,
      "eval_samples_per_second": 61.509,
      "eval_steps_per_second": 7.772,
      "step": 1248
    },
    {
      "best_epoch": 3,
      "best_eval_accuracy": 0.5342960288808665,
      "epoch": 4.0,
      "step": 1248
    },
    {
      "epoch": 4.81,
      "learning_rate": 0.0036794871794871794,
      "loss": 0.1187,
      "step": 1500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.5703971119133574,
      "eval_loss": 0.07322770357131958,
      "eval_runtime": 4.5054,
      "eval_samples_per_second": 61.482,
      "eval_steps_per_second": 7.769,
      "step": 1560
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5703971119133574,
      "epoch": 5.0,
      "step": 1560
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 0.07959606498479843,
      "eval_runtime": 4.4974,
      "eval_samples_per_second": 61.591,
      "eval_steps_per_second": 7.782,
      "step": 1872
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5703971119133574,
      "epoch": 6.0,
      "step": 1872
    },
    {
      "epoch": 6.41,
      "learning_rate": 0.003572649572649573,
      "loss": 0.0991,
      "step": 2000
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 0.0745367482304573,
      "eval_runtime": 4.4876,
      "eval_samples_per_second": 61.725,
      "eval_steps_per_second": 7.799,
      "step": 2184
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5703971119133574,
      "epoch": 7.0,
      "step": 2184
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.4981949458483754,
      "eval_loss": 0.0715838074684143,
      "eval_runtime": 4.4817,
      "eval_samples_per_second": 61.807,
      "eval_steps_per_second": 7.81,
      "step": 2496
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5703971119133574,
      "epoch": 8.0,
      "step": 2496
    },
    {
      "epoch": 8.01,
      "learning_rate": 0.003465811965811966,
      "loss": 0.0819,
      "step": 2500
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.49097472924187724,
      "eval_loss": 0.07054454833269119,
      "eval_runtime": 4.4827,
      "eval_samples_per_second": 61.793,
      "eval_steps_per_second": 7.808,
      "step": 2808
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5703971119133574,
      "epoch": 9.0,
      "step": 2808
    },
    {
      "epoch": 9.62,
      "learning_rate": 0.003358974358974359,
      "loss": 0.0807,
      "step": 3000
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.47653429602888087,
      "eval_loss": 0.07019203901290894,
      "eval_runtime": 4.4883,
      "eval_samples_per_second": 61.716,
      "eval_steps_per_second": 7.798,
      "step": 3120
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5703971119133574,
      "epoch": 10.0,
      "step": 3120
    },
    {
      "epoch": 11.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 0.07131501287221909,
      "eval_runtime": 4.4864,
      "eval_samples_per_second": 61.742,
      "eval_steps_per_second": 7.801,
      "step": 3432
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5703971119133574,
      "epoch": 11.0,
      "step": 3432
    },
    {
      "epoch": 11.22,
      "learning_rate": 0.0032521367521367523,
      "loss": 0.0802,
      "step": 3500
    },
    {
      "epoch": 12.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 0.07025401294231415,
      "eval_runtime": 4.4874,
      "eval_samples_per_second": 61.728,
      "eval_steps_per_second": 7.8,
      "step": 3744
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5703971119133574,
      "epoch": 12.0,
      "step": 3744
    },
    {
      "epoch": 12.82,
      "learning_rate": 0.0031452991452991454,
      "loss": 0.0795,
      "step": 4000
    },
    {
      "epoch": 13.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 0.07835417985916138,
      "eval_runtime": 4.4839,
      "eval_samples_per_second": 61.776,
      "eval_steps_per_second": 7.806,
      "step": 4056
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5703971119133574,
      "epoch": 13.0,
      "step": 4056
    },
    {
      "epoch": 14.0,
      "eval_accuracy": 0.5306859205776173,
      "eval_loss": 0.07064678519964218,
      "eval_runtime": 4.4919,
      "eval_samples_per_second": 61.666,
      "eval_steps_per_second": 7.792,
      "step": 4368
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5703971119133574,
      "epoch": 14.0,
      "step": 4368
    },
    {
      "epoch": 14.42,
      "learning_rate": 0.0030384615384615385,
      "loss": 0.0794,
      "step": 4500
    },
    {
      "epoch": 15.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 0.07303398102521896,
      "eval_runtime": 4.4936,
      "eval_samples_per_second": 61.643,
      "eval_steps_per_second": 7.789,
      "step": 4680
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5703971119133574,
      "epoch": 15.0,
      "step": 4680
    },
    {
      "epoch": 16.0,
      "eval_accuracy": 0.48014440433212996,
      "eval_loss": 0.0706457644701004,
      "eval_runtime": 4.489,
      "eval_samples_per_second": 61.706,
      "eval_steps_per_second": 7.797,
      "step": 4992
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5703971119133574,
      "epoch": 16.0,
      "step": 4992
    },
    {
      "epoch": 16.03,
      "learning_rate": 0.0029316239316239316,
      "loss": 0.0806,
      "step": 5000
    },
    {
      "epoch": 17.0,
      "eval_accuracy": 0.5595667870036101,
      "eval_loss": 0.07106263935565948,
      "eval_runtime": 4.4937,
      "eval_samples_per_second": 61.642,
      "eval_steps_per_second": 7.789,
      "step": 5304
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5703971119133574,
      "epoch": 17.0,
      "step": 5304
    },
    {
      "epoch": 17.63,
      "learning_rate": 0.002824786324786325,
      "loss": 0.0811,
      "step": 5500
    },
    {
      "epoch": 18.0,
      "eval_accuracy": 0.4693140794223827,
      "eval_loss": 0.0703640729188919,
      "eval_runtime": 4.4948,
      "eval_samples_per_second": 61.626,
      "eval_steps_per_second": 7.787,
      "step": 5616
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5703971119133574,
      "epoch": 18.0,
      "step": 5616
    },
    {
      "epoch": 19.0,
      "eval_accuracy": 0.48736462093862815,
      "eval_loss": 0.07006794959306717,
      "eval_runtime": 4.4898,
      "eval_samples_per_second": 61.695,
      "eval_steps_per_second": 7.795,
      "step": 5928
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5703971119133574,
      "epoch": 19.0,
      "step": 5928
    },
    {
      "epoch": 19.23,
      "learning_rate": 0.0027179487179487182,
      "loss": 0.0798,
      "step": 6000
    },
    {
      "epoch": 20.0,
      "eval_accuracy": 0.6101083032490975,
      "eval_loss": 0.07190611958503723,
      "eval_runtime": 4.493,
      "eval_samples_per_second": 61.651,
      "eval_steps_per_second": 7.79,
      "step": 6240
    },
    {
      "best_epoch": 19,
      "best_eval_accuracy": 0.6101083032490975,
      "epoch": 20.0,
      "step": 6240
    },
    {
      "epoch": 20.83,
      "learning_rate": 0.0026111111111111114,
      "loss": 0.0793,
      "step": 6500
    },
    {
      "epoch": 21.0,
      "eval_accuracy": 0.4693140794223827,
      "eval_loss": 0.07052430510520935,
      "eval_runtime": 4.4908,
      "eval_samples_per_second": 61.682,
      "eval_steps_per_second": 7.794,
      "step": 6552
    },
    {
      "best_epoch": 19,
      "best_eval_accuracy": 0.6101083032490975,
      "epoch": 21.0,
      "step": 6552
    },
    {
      "epoch": 22.0,
      "eval_accuracy": 0.5884476534296029,
      "eval_loss": 0.07068859040737152,
      "eval_runtime": 4.4944,
      "eval_samples_per_second": 61.633,
      "eval_steps_per_second": 7.788,
      "step": 6864
    },
    {
      "best_epoch": 19,
      "best_eval_accuracy": 0.6101083032490975,
      "epoch": 22.0,
      "step": 6864
    },
    {
      "epoch": 22.44,
      "learning_rate": 0.0025042735042735045,
      "loss": 0.0795,
      "step": 7000
    },
    {
      "epoch": 23.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 0.07123356312513351,
      "eval_runtime": 4.4895,
      "eval_samples_per_second": 61.7,
      "eval_steps_per_second": 7.796,
      "step": 7176
    },
    {
      "best_epoch": 19,
      "best_eval_accuracy": 0.6101083032490975,
      "epoch": 23.0,
      "step": 7176
    },
    {
      "epoch": 24.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 0.07049828767776489,
      "eval_runtime": 4.4902,
      "eval_samples_per_second": 61.69,
      "eval_steps_per_second": 7.795,
      "step": 7488
    },
    {
      "best_epoch": 19,
      "best_eval_accuracy": 0.6101083032490975,
      "epoch": 24.0,
      "step": 7488
    },
    {
      "epoch": 24.04,
      "learning_rate": 0.0023974358974358976,
      "loss": 0.0796,
      "step": 7500
    },
    {
      "epoch": 25.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 0.07892809063196182,
      "eval_runtime": 4.4907,
      "eval_samples_per_second": 61.682,
      "eval_steps_per_second": 7.794,
      "step": 7800
    },
    {
      "best_epoch": 19,
      "best_eval_accuracy": 0.6101083032490975,
      "epoch": 25.0,
      "step": 7800
    },
    {
      "epoch": 25.64,
      "learning_rate": 0.0022905982905982907,
      "loss": 0.0796,
      "step": 8000
    },
    {
      "epoch": 26.0,
      "eval_accuracy": 0.48014440433212996,
      "eval_loss": 0.07052510976791382,
      "eval_runtime": 4.4886,
      "eval_samples_per_second": 61.712,
      "eval_steps_per_second": 7.798,
      "step": 8112
    },
    {
      "best_epoch": 19,
      "best_eval_accuracy": 0.6101083032490975,
      "epoch": 26.0,
      "step": 8112
    },
    {
      "epoch": 27.0,
      "eval_accuracy": 0.47653429602888087,
      "eval_loss": 0.07029584050178528,
      "eval_runtime": 4.4833,
      "eval_samples_per_second": 61.785,
      "eval_steps_per_second": 7.807,
      "step": 8424
    },
    {
      "best_epoch": 19,
      "best_eval_accuracy": 0.6101083032490975,
      "epoch": 27.0,
      "step": 8424
    },
    {
      "epoch": 27.24,
      "learning_rate": 0.002183760683760684,
      "loss": 0.0787,
      "step": 8500
    },
    {
      "epoch": 28.0,
      "eval_accuracy": 0.48375451263537905,
      "eval_loss": 0.07033976167440414,
      "eval_runtime": 4.4877,
      "eval_samples_per_second": 61.725,
      "eval_steps_per_second": 7.799,
      "step": 8736
    },
    {
      "best_epoch": 19,
      "best_eval_accuracy": 0.6101083032490975,
      "epoch": 28.0,
      "step": 8736
    },
    {
      "epoch": 28.85,
      "learning_rate": 0.0020769230769230773,
      "loss": 0.079,
      "step": 9000
    },
    {
      "epoch": 29.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 0.07161471992731094,
      "eval_runtime": 4.4853,
      "eval_samples_per_second": 61.758,
      "eval_steps_per_second": 7.803,
      "step": 9048
    },
    {
      "best_epoch": 19,
      "best_eval_accuracy": 0.6101083032490975,
      "epoch": 29.0,
      "step": 9048
    },
    {
      "epoch": 30.0,
      "eval_accuracy": 0.5703971119133574,
      "eval_loss": 0.07392293959856033,
      "eval_runtime": 4.4851,
      "eval_samples_per_second": 61.76,
      "eval_steps_per_second": 7.804,
      "step": 9360
    },
    {
      "best_epoch": 19,
      "best_eval_accuracy": 0.6101083032490975,
      "epoch": 30.0,
      "step": 9360
    },
    {
      "epoch": 30.45,
      "learning_rate": 0.0019700854700854704,
      "loss": 0.0788,
      "step": 9500
    },
    {
      "epoch": 31.0,
      "eval_accuracy": 0.5631768953068592,
      "eval_loss": 0.07494190335273743,
      "eval_runtime": 4.4843,
      "eval_samples_per_second": 61.771,
      "eval_steps_per_second": 7.805,
      "step": 9672
    },
    {
      "best_epoch": 19,
      "best_eval_accuracy": 0.6101083032490975,
      "epoch": 31.0,
      "step": 9672
    },
    {
      "epoch": 32.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 0.0710810124874115,
      "eval_runtime": 4.4859,
      "eval_samples_per_second": 61.749,
      "eval_steps_per_second": 7.802,
      "step": 9984
    },
    {
      "best_epoch": 19,
      "best_eval_accuracy": 0.6101083032490975,
      "epoch": 32.0,
      "step": 9984
    },
    {
      "epoch": 32.05,
      "learning_rate": 0.0018632478632478633,
      "loss": 0.0789,
      "step": 10000
    },
    {
      "epoch": 33.0,
      "eval_accuracy": 0.48375451263537905,
      "eval_loss": 0.07050064951181412,
      "eval_runtime": 4.4845,
      "eval_samples_per_second": 61.768,
      "eval_steps_per_second": 7.805,
      "step": 10296
    },
    {
      "best_epoch": 19,
      "best_eval_accuracy": 0.6101083032490975,
      "epoch": 33.0,
      "step": 10296
    },
    {
      "epoch": 33.65,
      "learning_rate": 0.0017564102564102564,
      "loss": 0.0786,
      "step": 10500
    },
    {
      "epoch": 34.0,
      "eval_accuracy": 0.51985559566787,
      "eval_loss": 0.06995219737291336,
      "eval_runtime": 4.476,
      "eval_samples_per_second": 61.886,
      "eval_steps_per_second": 7.82,
      "step": 10608
    },
    {
      "best_epoch": 19,
      "best_eval_accuracy": 0.6101083032490975,
      "epoch": 34.0,
      "step": 10608
    },
    {
      "epoch": 35.0,
      "eval_accuracy": 0.48375451263537905,
      "eval_loss": 0.06990911066532135,
      "eval_runtime": 4.4873,
      "eval_samples_per_second": 61.73,
      "eval_steps_per_second": 7.8,
      "step": 10920
    },
    {
      "best_epoch": 19,
      "best_eval_accuracy": 0.6101083032490975,
      "epoch": 35.0,
      "step": 10920
    },
    {
      "epoch": 35.26,
      "learning_rate": 0.0016495726495726495,
      "loss": 0.0785,
      "step": 11000
    },
    {
      "epoch": 36.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 0.07145760208368301,
      "eval_runtime": 4.4889,
      "eval_samples_per_second": 61.707,
      "eval_steps_per_second": 7.797,
      "step": 11232
    },
    {
      "best_epoch": 19,
      "best_eval_accuracy": 0.6101083032490975,
      "epoch": 36.0,
      "step": 11232
    },
    {
      "epoch": 36.86,
      "learning_rate": 0.0015427350427350429,
      "loss": 0.0784,
      "step": 11500
    },
    {
      "epoch": 37.0,
      "eval_accuracy": 0.6353790613718412,
      "eval_loss": 0.07159464806318283,
      "eval_runtime": 4.4862,
      "eval_samples_per_second": 61.745,
      "eval_steps_per_second": 7.802,
      "step": 11544
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 37.0,
      "step": 11544
    },
    {
      "epoch": 38.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 0.07186750322580338,
      "eval_runtime": 4.4867,
      "eval_samples_per_second": 61.737,
      "eval_steps_per_second": 7.801,
      "step": 11856
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 38.0,
      "step": 11856
    },
    {
      "epoch": 38.46,
      "learning_rate": 0.001435897435897436,
      "loss": 0.0781,
      "step": 12000
    },
    {
      "epoch": 39.0,
      "eval_accuracy": 0.5487364620938628,
      "eval_loss": 0.07000464200973511,
      "eval_runtime": 4.4864,
      "eval_samples_per_second": 61.742,
      "eval_steps_per_second": 7.801,
      "step": 12168
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 39.0,
      "step": 12168
    },
    {
      "epoch": 40.0,
      "eval_accuracy": 0.5848375451263538,
      "eval_loss": 0.06997690349817276,
      "eval_runtime": 4.4896,
      "eval_samples_per_second": 61.699,
      "eval_steps_per_second": 7.796,
      "step": 12480
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 40.0,
      "step": 12480
    },
    {
      "epoch": 40.06,
      "learning_rate": 0.001329059829059829,
      "loss": 0.0778,
      "step": 12500
    },
    {
      "epoch": 41.0,
      "eval_accuracy": 0.6173285198555957,
      "eval_loss": 0.07039925456047058,
      "eval_runtime": 4.4877,
      "eval_samples_per_second": 61.725,
      "eval_steps_per_second": 7.799,
      "step": 12792
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 41.0,
      "step": 12792
    },
    {
      "epoch": 41.67,
      "learning_rate": 0.0012222222222222224,
      "loss": 0.0778,
      "step": 13000
    },
    {
      "epoch": 42.0,
      "eval_accuracy": 0.5848375451263538,
      "eval_loss": 0.07050343602895737,
      "eval_runtime": 4.4896,
      "eval_samples_per_second": 61.699,
      "eval_steps_per_second": 7.796,
      "step": 13104
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 42.0,
      "step": 13104
    },
    {
      "epoch": 43.0,
      "eval_accuracy": 0.6209386281588448,
      "eval_loss": 0.07049660384654999,
      "eval_runtime": 4.487,
      "eval_samples_per_second": 61.734,
      "eval_steps_per_second": 7.8,
      "step": 13416
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 43.0,
      "step": 13416
    },
    {
      "epoch": 43.27,
      "learning_rate": 0.0011153846153846155,
      "loss": 0.078,
      "step": 13500
    },
    {
      "epoch": 44.0,
      "eval_accuracy": 0.51985559566787,
      "eval_loss": 0.07012051343917847,
      "eval_runtime": 4.4899,
      "eval_samples_per_second": 61.694,
      "eval_steps_per_second": 7.795,
      "step": 13728
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 44.0,
      "step": 13728
    },
    {
      "epoch": 44.87,
      "learning_rate": 0.0010085470085470086,
      "loss": 0.0776,
      "step": 14000
    },
    {
      "epoch": 45.0,
      "eval_accuracy": 0.5956678700361011,
      "eval_loss": 0.07043617963790894,
      "eval_runtime": 4.4893,
      "eval_samples_per_second": 61.702,
      "eval_steps_per_second": 7.796,
      "step": 14040
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 45.0,
      "step": 14040
    },
    {
      "epoch": 46.0,
      "eval_accuracy": 0.5848375451263538,
      "eval_loss": 0.07017319649457932,
      "eval_runtime": 4.4885,
      "eval_samples_per_second": 61.714,
      "eval_steps_per_second": 7.798,
      "step": 14352
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 46.0,
      "step": 14352
    },
    {
      "epoch": 46.47,
      "learning_rate": 0.0009017094017094017,
      "loss": 0.0772,
      "step": 14500
    },
    {
      "epoch": 47.0,
      "eval_accuracy": 0.47653429602888087,
      "eval_loss": 0.07025384157896042,
      "eval_runtime": 4.4917,
      "eval_samples_per_second": 61.669,
      "eval_steps_per_second": 7.792,
      "step": 14664
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 47.0,
      "step": 14664
    },
    {
      "epoch": 48.0,
      "eval_accuracy": 0.5379061371841155,
      "eval_loss": 0.0697227343916893,
      "eval_runtime": 4.4921,
      "eval_samples_per_second": 61.664,
      "eval_steps_per_second": 7.791,
      "step": 14976
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 48.0,
      "step": 14976
    },
    {
      "epoch": 48.08,
      "learning_rate": 0.0007948717948717948,
      "loss": 0.0773,
      "step": 15000
    },
    {
      "epoch": 49.0,
      "eval_accuracy": 0.5595667870036101,
      "eval_loss": 0.06964733451604843,
      "eval_runtime": 4.5022,
      "eval_samples_per_second": 61.526,
      "eval_steps_per_second": 7.774,
      "step": 15288
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 49.0,
      "step": 15288
    },
    {
      "epoch": 49.68,
      "learning_rate": 0.0006880341880341881,
      "loss": 0.0772,
      "step": 15500
    },
    {
      "epoch": 50.0,
      "eval_accuracy": 0.47653429602888087,
      "eval_loss": 0.07015614211559296,
      "eval_runtime": 4.4706,
      "eval_samples_per_second": 61.96,
      "eval_steps_per_second": 7.829,
      "step": 15600
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 50.0,
      "step": 15600
    },
    {
      "epoch": 51.0,
      "eval_accuracy": 0.48014440433212996,
      "eval_loss": 0.07005967199802399,
      "eval_runtime": 4.4652,
      "eval_samples_per_second": 62.036,
      "eval_steps_per_second": 7.838,
      "step": 15912
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 51.0,
      "step": 15912
    },
    {
      "epoch": 51.28,
      "learning_rate": 0.0005811965811965813,
      "loss": 0.0776,
      "step": 16000
    },
    {
      "epoch": 52.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 0.07058187574148178,
      "eval_runtime": 4.465,
      "eval_samples_per_second": 62.038,
      "eval_steps_per_second": 7.839,
      "step": 16224
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 52.0,
      "step": 16224
    },
    {
      "epoch": 52.88,
      "learning_rate": 0.00047435897435897434,
      "loss": 0.0772,
      "step": 16500
    },
    {
      "epoch": 53.0,
      "eval_accuracy": 0.5054151624548736,
      "eval_loss": 0.06982703506946564,
      "eval_runtime": 4.4547,
      "eval_samples_per_second": 62.182,
      "eval_steps_per_second": 7.857,
      "step": 16536
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 53.0,
      "step": 16536
    },
    {
      "epoch": 54.0,
      "eval_accuracy": 0.631768953068592,
      "eval_loss": 0.07056145370006561,
      "eval_runtime": 4.4549,
      "eval_samples_per_second": 62.179,
      "eval_steps_per_second": 7.857,
      "step": 16848
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 54.0,
      "step": 16848
    },
    {
      "epoch": 54.49,
      "learning_rate": 0.00036752136752136755,
      "loss": 0.0766,
      "step": 17000
    },
    {
      "epoch": 55.0,
      "eval_accuracy": 0.47653429602888087,
      "eval_loss": 0.07077504694461823,
      "eval_runtime": 4.4385,
      "eval_samples_per_second": 62.409,
      "eval_steps_per_second": 7.886,
      "step": 17160
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 55.0,
      "step": 17160
    },
    {
      "epoch": 56.0,
      "eval_accuracy": 0.6209386281588448,
      "eval_loss": 0.07004080712795258,
      "eval_runtime": 4.4393,
      "eval_samples_per_second": 62.397,
      "eval_steps_per_second": 7.884,
      "step": 17472
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 56.0,
      "step": 17472
    },
    {
      "epoch": 56.09,
      "learning_rate": 0.0002606837606837607,
      "loss": 0.0766,
      "step": 17500
    },
    {
      "epoch": 57.0,
      "eval_accuracy": 0.5306859205776173,
      "eval_loss": 0.06971540302038193,
      "eval_runtime": 4.4341,
      "eval_samples_per_second": 62.47,
      "eval_steps_per_second": 7.893,
      "step": 17784
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 57.0,
      "step": 17784
    },
    {
      "epoch": 57.69,
      "learning_rate": 0.00015384615384615385,
      "loss": 0.0767,
      "step": 18000
    },
    {
      "epoch": 58.0,
      "eval_accuracy": 0.48014440433212996,
      "eval_loss": 0.07002807408571243,
      "eval_runtime": 4.4375,
      "eval_samples_per_second": 62.422,
      "eval_steps_per_second": 7.887,
      "step": 18096
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 58.0,
      "step": 18096
    },
    {
      "epoch": 59.0,
      "eval_accuracy": 0.5234657039711191,
      "eval_loss": 0.06969156861305237,
      "eval_runtime": 4.4353,
      "eval_samples_per_second": 62.454,
      "eval_steps_per_second": 7.891,
      "step": 18408
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 59.0,
      "step": 18408
    },
    {
      "epoch": 59.29,
      "learning_rate": 4.700854700854701e-05,
      "loss": 0.0767,
      "step": 18500
    },
    {
      "epoch": 60.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 0.06970320641994476,
      "eval_runtime": 4.4366,
      "eval_samples_per_second": 62.435,
      "eval_steps_per_second": 7.889,
      "step": 18720
    },
    {
      "best_epoch": 36,
      "best_eval_accuracy": 0.6353790613718412,
      "epoch": 60.0,
      "step": 18720
    },
    {
      "epoch": 60.0,
      "step": 18720,
      "total_flos": 6.96152728406016e+16,
      "train_loss": 0.0838659094949054,
      "train_runtime": 4072.213,
      "train_samples_per_second": 36.688,
      "train_steps_per_second": 4.597
    }
  ],
  "max_steps": 18720,
  "num_train_epochs": 60,
  "total_flos": 6.96152728406016e+16,
  "trial_name": null,
  "trial_params": null
}