{
  "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": 0.516245487364621,
      "eval_loss": 30.45633316040039,
      "eval_runtime": 6.9248,
      "eval_samples_per_second": 40.001,
      "eval_steps_per_second": 5.054,
      "step": 312
    },
    {
      "best_epoch": 0,
      "best_eval_accuracy": 0.516245487364621,
      "epoch": 1.0,
      "step": 312
    },
    {
      "epoch": 1.6,
      "learning_rate": 0.0009732905982905983,
      "loss": 31.8281,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 28.268251419067383,
      "eval_runtime": 6.8798,
      "eval_samples_per_second": 40.263,
      "eval_steps_per_second": 5.087,
      "step": 624
    },
    {
      "best_epoch": 0,
      "best_eval_accuracy": 0.516245487364621,
      "epoch": 2.0,
      "step": 624
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 22.482925415039062,
      "eval_runtime": 6.8633,
      "eval_samples_per_second": 40.36,
      "eval_steps_per_second": 5.1,
      "step": 936
    },
    {
      "best_epoch": 0,
      "best_eval_accuracy": 0.516245487364621,
      "epoch": 3.0,
      "step": 936
    },
    {
      "epoch": 3.21,
      "learning_rate": 0.0009465811965811966,
      "loss": 26.6026,
      "step": 1000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 17.250818252563477,
      "eval_runtime": 6.8768,
      "eval_samples_per_second": 40.281,
      "eval_steps_per_second": 5.09,
      "step": 1248
    },
    {
      "best_epoch": 0,
      "best_eval_accuracy": 0.516245487364621,
      "epoch": 4.0,
      "step": 1248
    },
    {
      "epoch": 4.81,
      "learning_rate": 0.0009198717948717949,
      "loss": 20.7188,
      "step": 1500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 15.695619583129883,
      "eval_runtime": 6.9281,
      "eval_samples_per_second": 39.982,
      "eval_steps_per_second": 5.052,
      "step": 1560
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 5.0,
      "step": 1560
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 14.759888648986816,
      "eval_runtime": 6.832,
      "eval_samples_per_second": 40.545,
      "eval_steps_per_second": 5.123,
      "step": 1872
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 6.0,
      "step": 1872
    },
    {
      "epoch": 6.41,
      "learning_rate": 0.0008931623931623932,
      "loss": 18.7808,
      "step": 2000
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 14.433088302612305,
      "eval_runtime": 6.8638,
      "eval_samples_per_second": 40.356,
      "eval_steps_per_second": 5.099,
      "step": 2184
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 7.0,
      "step": 2184
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 13.9365873336792,
      "eval_runtime": 6.8545,
      "eval_samples_per_second": 40.411,
      "eval_steps_per_second": 5.106,
      "step": 2496
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 8.0,
      "step": 2496
    },
    {
      "epoch": 8.01,
      "learning_rate": 0.0008664529914529915,
      "loss": 18.0838,
      "step": 2500
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 13.634007453918457,
      "eval_runtime": 6.7394,
      "eval_samples_per_second": 41.102,
      "eval_steps_per_second": 5.193,
      "step": 2808
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 9.0,
      "step": 2808
    },
    {
      "epoch": 9.62,
      "learning_rate": 0.0008397435897435898,
      "loss": 17.722,
      "step": 3000
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 13.437921524047852,
      "eval_runtime": 6.8897,
      "eval_samples_per_second": 40.205,
      "eval_steps_per_second": 5.08,
      "step": 3120
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 10.0,
      "step": 3120
    },
    {
      "epoch": 11.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 13.439308166503906,
      "eval_runtime": 6.8739,
      "eval_samples_per_second": 40.297,
      "eval_steps_per_second": 5.092,
      "step": 3432
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 11.0,
      "step": 3432
    },
    {
      "epoch": 11.22,
      "learning_rate": 0.0008130341880341881,
      "loss": 17.4783,
      "step": 3500
    },
    {
      "epoch": 12.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 13.137593269348145,
      "eval_runtime": 6.874,
      "eval_samples_per_second": 40.297,
      "eval_steps_per_second": 5.092,
      "step": 3744
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 12.0,
      "step": 3744
    },
    {
      "epoch": 12.82,
      "learning_rate": 0.0007863247863247863,
      "loss": 17.2699,
      "step": 4000
    },
    {
      "epoch": 13.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 12.95992374420166,
      "eval_runtime": 6.8727,
      "eval_samples_per_second": 40.304,
      "eval_steps_per_second": 5.093,
      "step": 4056
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 13.0,
      "step": 4056
    },
    {
      "epoch": 14.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 12.848048210144043,
      "eval_runtime": 6.8528,
      "eval_samples_per_second": 40.421,
      "eval_steps_per_second": 5.107,
      "step": 4368
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 14.0,
      "step": 4368
    },
    {
      "epoch": 14.42,
      "learning_rate": 0.0007596153846153846,
      "loss": 17.0966,
      "step": 4500
    },
    {
      "epoch": 15.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 12.781341552734375,
      "eval_runtime": 6.8525,
      "eval_samples_per_second": 40.423,
      "eval_steps_per_second": 5.108,
      "step": 4680
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 15.0,
      "step": 4680
    },
    {
      "epoch": 16.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 12.691984176635742,
      "eval_runtime": 6.9197,
      "eval_samples_per_second": 40.03,
      "eval_steps_per_second": 5.058,
      "step": 4992
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 16.0,
      "step": 4992
    },
    {
      "epoch": 16.03,
      "learning_rate": 0.0007329059829059829,
      "loss": 16.9613,
      "step": 5000
    },
    {
      "epoch": 17.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 12.569376945495605,
      "eval_runtime": 6.837,
      "eval_samples_per_second": 40.515,
      "eval_steps_per_second": 5.119,
      "step": 5304
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 17.0,
      "step": 5304
    },
    {
      "epoch": 17.63,
      "learning_rate": 0.0007061965811965813,
      "loss": 16.848,
      "step": 5500
    },
    {
      "epoch": 18.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 12.51942253112793,
      "eval_runtime": 6.9126,
      "eval_samples_per_second": 40.072,
      "eval_steps_per_second": 5.063,
      "step": 5616
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 18.0,
      "step": 5616
    },
    {
      "epoch": 19.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 12.459056854248047,
      "eval_runtime": 6.8379,
      "eval_samples_per_second": 40.509,
      "eval_steps_per_second": 5.119,
      "step": 5928
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 19.0,
      "step": 5928
    },
    {
      "epoch": 19.23,
      "learning_rate": 0.0006794871794871796,
      "loss": 16.7661,
      "step": 6000
    },
    {
      "epoch": 20.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 12.382737159729004,
      "eval_runtime": 6.8814,
      "eval_samples_per_second": 40.253,
      "eval_steps_per_second": 5.086,
      "step": 6240
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 20.0,
      "step": 6240
    },
    {
      "epoch": 20.83,
      "learning_rate": 0.0006527777777777778,
      "loss": 16.6825,
      "step": 6500
    },
    {
      "epoch": 21.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 12.341012001037598,
      "eval_runtime": 6.8719,
      "eval_samples_per_second": 40.309,
      "eval_steps_per_second": 5.093,
      "step": 6552
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 21.0,
      "step": 6552
    },
    {
      "epoch": 22.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 12.324116706848145,
      "eval_runtime": 6.8995,
      "eval_samples_per_second": 40.148,
      "eval_steps_per_second": 5.073,
      "step": 6864
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 22.0,
      "step": 6864
    },
    {
      "epoch": 22.44,
      "learning_rate": 0.0006260683760683761,
      "loss": 16.5963,
      "step": 7000
    },
    {
      "epoch": 23.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 12.329614639282227,
      "eval_runtime": 6.8549,
      "eval_samples_per_second": 40.409,
      "eval_steps_per_second": 5.106,
      "step": 7176
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 23.0,
      "step": 7176
    },
    {
      "epoch": 24.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 12.261089324951172,
      "eval_runtime": 6.8822,
      "eval_samples_per_second": 40.249,
      "eval_steps_per_second": 5.086,
      "step": 7488
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 24.0,
      "step": 7488
    },
    {
      "epoch": 24.04,
      "learning_rate": 0.0005993589743589744,
      "loss": 16.5513,
      "step": 7500
    },
    {
      "epoch": 25.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 12.151515007019043,
      "eval_runtime": 6.8798,
      "eval_samples_per_second": 40.263,
      "eval_steps_per_second": 5.087,
      "step": 7800
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 25.0,
      "step": 7800
    },
    {
      "epoch": 25.64,
      "learning_rate": 0.0005726495726495727,
      "loss": 16.4926,
      "step": 8000
    },
    {
      "epoch": 26.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 12.119367599487305,
      "eval_runtime": 6.8242,
      "eval_samples_per_second": 40.591,
      "eval_steps_per_second": 5.129,
      "step": 8112
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 26.0,
      "step": 8112
    },
    {
      "epoch": 27.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 12.105155944824219,
      "eval_runtime": 6.9189,
      "eval_samples_per_second": 40.035,
      "eval_steps_per_second": 5.059,
      "step": 8424
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 27.0,
      "step": 8424
    },
    {
      "epoch": 27.24,
      "learning_rate": 0.000545940170940171,
      "loss": 16.4398,
      "step": 8500
    },
    {
      "epoch": 28.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 12.051624298095703,
      "eval_runtime": 6.8467,
      "eval_samples_per_second": 40.457,
      "eval_steps_per_second": 5.112,
      "step": 8736
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 28.0,
      "step": 8736
    },
    {
      "epoch": 28.85,
      "learning_rate": 0.0005192307692307693,
      "loss": 16.399,
      "step": 9000
    },
    {
      "epoch": 29.0,
      "eval_accuracy": 0.49458483754512633,
      "eval_loss": 12.021004676818848,
      "eval_runtime": 6.9157,
      "eval_samples_per_second": 40.054,
      "eval_steps_per_second": 5.061,
      "step": 9048
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 29.0,
      "step": 9048
    },
    {
      "epoch": 30.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 12.005374908447266,
      "eval_runtime": 6.9233,
      "eval_samples_per_second": 40.01,
      "eval_steps_per_second": 5.055,
      "step": 9360
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 30.0,
      "step": 9360
    },
    {
      "epoch": 30.45,
      "learning_rate": 0.0004925213675213676,
      "loss": 16.3657,
      "step": 9500
    },
    {
      "epoch": 31.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 11.996041297912598,
      "eval_runtime": 6.8696,
      "eval_samples_per_second": 40.323,
      "eval_steps_per_second": 5.095,
      "step": 9672
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 31.0,
      "step": 9672
    },
    {
      "epoch": 32.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 11.954824447631836,
      "eval_runtime": 6.8336,
      "eval_samples_per_second": 40.535,
      "eval_steps_per_second": 5.122,
      "step": 9984
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 32.0,
      "step": 9984
    },
    {
      "epoch": 32.05,
      "learning_rate": 0.00046581196581196583,
      "loss": 16.3306,
      "step": 10000
    },
    {
      "epoch": 33.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 11.933246612548828,
      "eval_runtime": 6.8702,
      "eval_samples_per_second": 40.319,
      "eval_steps_per_second": 5.094,
      "step": 10296
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 33.0,
      "step": 10296
    },
    {
      "epoch": 33.65,
      "learning_rate": 0.0004391025641025641,
      "loss": 16.294,
      "step": 10500
    },
    {
      "epoch": 34.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.914789199829102,
      "eval_runtime": 6.8807,
      "eval_samples_per_second": 40.258,
      "eval_steps_per_second": 5.087,
      "step": 10608
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 34.0,
      "step": 10608
    },
    {
      "epoch": 35.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.92249870300293,
      "eval_runtime": 6.8751,
      "eval_samples_per_second": 40.29,
      "eval_steps_per_second": 5.091,
      "step": 10920
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 35.0,
      "step": 10920
    },
    {
      "epoch": 35.26,
      "learning_rate": 0.0004123931623931624,
      "loss": 16.2657,
      "step": 11000
    },
    {
      "epoch": 36.0,
      "eval_accuracy": 0.47653429602888087,
      "eval_loss": 11.87264633178711,
      "eval_runtime": 6.849,
      "eval_samples_per_second": 40.444,
      "eval_steps_per_second": 5.11,
      "step": 11232
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 36.0,
      "step": 11232
    },
    {
      "epoch": 36.86,
      "learning_rate": 0.0003856837606837607,
      "loss": 16.2465,
      "step": 11500
    },
    {
      "epoch": 37.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.845185279846191,
      "eval_runtime": 6.8882,
      "eval_samples_per_second": 40.214,
      "eval_steps_per_second": 5.081,
      "step": 11544
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 37.0,
      "step": 11544
    },
    {
      "epoch": 38.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 11.834094047546387,
      "eval_runtime": 6.8409,
      "eval_samples_per_second": 40.492,
      "eval_steps_per_second": 5.116,
      "step": 11856
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 38.0,
      "step": 11856
    },
    {
      "epoch": 38.46,
      "learning_rate": 0.000358974358974359,
      "loss": 16.208,
      "step": 12000
    },
    {
      "epoch": 39.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.823224067687988,
      "eval_runtime": 6.842,
      "eval_samples_per_second": 40.485,
      "eval_steps_per_second": 5.115,
      "step": 12168
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 39.0,
      "step": 12168
    },
    {
      "epoch": 40.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.797883033752441,
      "eval_runtime": 6.8695,
      "eval_samples_per_second": 40.323,
      "eval_steps_per_second": 5.095,
      "step": 12480
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 40.0,
      "step": 12480
    },
    {
      "epoch": 40.06,
      "learning_rate": 0.00033226495726495727,
      "loss": 16.191,
      "step": 12500
    },
    {
      "epoch": 41.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.789505004882812,
      "eval_runtime": 6.908,
      "eval_samples_per_second": 40.098,
      "eval_steps_per_second": 5.067,
      "step": 12792
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 41.0,
      "step": 12792
    },
    {
      "epoch": 41.67,
      "learning_rate": 0.0003055555555555556,
      "loss": 16.1729,
      "step": 13000
    },
    {
      "epoch": 42.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.839137077331543,
      "eval_runtime": 6.9254,
      "eval_samples_per_second": 39.998,
      "eval_steps_per_second": 5.054,
      "step": 13104
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 42.0,
      "step": 13104
    },
    {
      "epoch": 43.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 11.761892318725586,
      "eval_runtime": 3.298,
      "eval_samples_per_second": 83.991,
      "eval_steps_per_second": 10.613,
      "step": 13416
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 43.0,
      "step": 13416
    },
    {
      "epoch": 43.27,
      "learning_rate": 0.0002788461538461539,
      "loss": 16.1571,
      "step": 13500
    },
    {
      "epoch": 44.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.750166893005371,
      "eval_runtime": 3.2851,
      "eval_samples_per_second": 84.319,
      "eval_steps_per_second": 10.654,
      "step": 13728
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 44.0,
      "step": 13728
    },
    {
      "epoch": 44.87,
      "learning_rate": 0.00025213675213675216,
      "loss": 16.1268,
      "step": 14000
    },
    {
      "epoch": 45.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.751955032348633,
      "eval_runtime": 3.2892,
      "eval_samples_per_second": 84.215,
      "eval_steps_per_second": 10.641,
      "step": 14040
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 45.0,
      "step": 14040
    },
    {
      "epoch": 46.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.75387954711914,
      "eval_runtime": 3.3027,
      "eval_samples_per_second": 83.87,
      "eval_steps_per_second": 10.597,
      "step": 14352
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 46.0,
      "step": 14352
    },
    {
      "epoch": 46.47,
      "learning_rate": 0.00022542735042735044,
      "loss": 16.1194,
      "step": 14500
    },
    {
      "epoch": 47.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.754090309143066,
      "eval_runtime": 3.2928,
      "eval_samples_per_second": 84.122,
      "eval_steps_per_second": 10.629,
      "step": 14664
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 47.0,
      "step": 14664
    },
    {
      "epoch": 48.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 11.712992668151855,
      "eval_runtime": 3.2869,
      "eval_samples_per_second": 84.274,
      "eval_steps_per_second": 10.648,
      "step": 14976
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 48.0,
      "step": 14976
    },
    {
      "epoch": 48.08,
      "learning_rate": 0.0001987179487179487,
      "loss": 16.11,
      "step": 15000
    },
    {
      "epoch": 49.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 11.701953887939453,
      "eval_runtime": 3.2907,
      "eval_samples_per_second": 84.176,
      "eval_steps_per_second": 10.636,
      "step": 15288
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 49.0,
      "step": 15288
    },
    {
      "epoch": 49.68,
      "learning_rate": 0.00017200854700854702,
      "loss": 16.0989,
      "step": 15500
    },
    {
      "epoch": 50.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.694924354553223,
      "eval_runtime": 3.2959,
      "eval_samples_per_second": 84.044,
      "eval_steps_per_second": 10.619,
      "step": 15600
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 50.0,
      "step": 15600
    },
    {
      "epoch": 51.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.702590942382812,
      "eval_runtime": 3.3086,
      "eval_samples_per_second": 83.721,
      "eval_steps_per_second": 10.579,
      "step": 15912
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 51.0,
      "step": 15912
    },
    {
      "epoch": 51.28,
      "learning_rate": 0.00014529914529914532,
      "loss": 16.0802,
      "step": 16000
    },
    {
      "epoch": 52.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.70562744140625,
      "eval_runtime": 3.3021,
      "eval_samples_per_second": 83.885,
      "eval_steps_per_second": 10.599,
      "step": 16224
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 52.0,
      "step": 16224
    },
    {
      "epoch": 52.88,
      "learning_rate": 0.00011858974358974358,
      "loss": 16.0765,
      "step": 16500
    },
    {
      "epoch": 53.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 11.679302215576172,
      "eval_runtime": 3.3016,
      "eval_samples_per_second": 83.899,
      "eval_steps_per_second": 10.601,
      "step": 16536
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 53.0,
      "step": 16536
    },
    {
      "epoch": 54.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 11.675891876220703,
      "eval_runtime": 3.3127,
      "eval_samples_per_second": 83.618,
      "eval_steps_per_second": 10.566,
      "step": 16848
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 54.0,
      "step": 16848
    },
    {
      "epoch": 54.49,
      "learning_rate": 9.188034188034189e-05,
      "loss": 16.0629,
      "step": 17000
    },
    {
      "epoch": 55.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.671220779418945,
      "eval_runtime": 3.2982,
      "eval_samples_per_second": 83.984,
      "eval_steps_per_second": 10.612,
      "step": 17160
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 55.0,
      "step": 17160
    },
    {
      "epoch": 56.0,
      "eval_accuracy": 0.49458483754512633,
      "eval_loss": 11.665974617004395,
      "eval_runtime": 3.3072,
      "eval_samples_per_second": 83.758,
      "eval_steps_per_second": 10.583,
      "step": 17472
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 56.0,
      "step": 17472
    },
    {
      "epoch": 56.09,
      "learning_rate": 6.517094017094018e-05,
      "loss": 16.0619,
      "step": 17500
    },
    {
      "epoch": 57.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.666152000427246,
      "eval_runtime": 3.2973,
      "eval_samples_per_second": 84.009,
      "eval_steps_per_second": 10.615,
      "step": 17784
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 57.0,
      "step": 17784
    },
    {
      "epoch": 57.69,
      "learning_rate": 3.846153846153846e-05,
      "loss": 16.0566,
      "step": 18000
    },
    {
      "epoch": 58.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.664301872253418,
      "eval_runtime": 3.2855,
      "eval_samples_per_second": 84.311,
      "eval_steps_per_second": 10.653,
      "step": 18096
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 58.0,
      "step": 18096
    },
    {
      "epoch": 59.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.661619186401367,
      "eval_runtime": 3.3182,
      "eval_samples_per_second": 83.479,
      "eval_steps_per_second": 10.548,
      "step": 18408
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 59.0,
      "step": 18408
    },
    {
      "epoch": 59.29,
      "learning_rate": 1.1752136752136752e-05,
      "loss": 16.0547,
      "step": 18500
    },
    {
      "epoch": 60.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 11.661417961120605,
      "eval_runtime": 3.2798,
      "eval_samples_per_second": 84.456,
      "eval_steps_per_second": 10.671,
      "step": 18720
    },
    {
      "best_epoch": 4,
      "best_eval_accuracy": 0.5270758122743683,
      "epoch": 60.0,
      "step": 18720
    },
    {
      "epoch": 60.0,
      "step": 18720,
      "total_flos": 6.96152728406016e+16,
      "train_loss": 17.346778074085204,
      "train_runtime": 5573.2397,
      "train_samples_per_second": 26.807,
      "train_steps_per_second": 3.359
    }
  ],
  "max_steps": 18720,
  "num_train_epochs": 60,
  "total_flos": 6.96152728406016e+16,
  "trial_name": null,
  "trial_params": null
}