{
  "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": 0.4729241877256318,
      "eval_loss": 34.459251403808594,
      "eval_runtime": 3.3722,
      "eval_samples_per_second": 82.142,
      "eval_steps_per_second": 10.379,
      "step": 312
    },
    {
      "best_epoch": 0,
      "best_eval_accuracy": 0.4729241877256318,
      "epoch": 1.0,
      "step": 312
    },
    {
      "epoch": 1.6,
      "learning_rate": 9.732905982905983e-05,
      "loss": 34.6035,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 34.190311431884766,
      "eval_runtime": 3.3781,
      "eval_samples_per_second": 81.998,
      "eval_steps_per_second": 10.361,
      "step": 624
    },
    {
      "best_epoch": 0,
      "best_eval_accuracy": 0.4729241877256318,
      "epoch": 2.0,
      "step": 624
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.5342960288808665,
      "eval_loss": 33.939701080322266,
      "eval_runtime": 3.3802,
      "eval_samples_per_second": 81.949,
      "eval_steps_per_second": 10.355,
      "step": 936
    },
    {
      "best_epoch": 2,
      "best_eval_accuracy": 0.5342960288808665,
      "epoch": 3.0,
      "step": 936
    },
    {
      "epoch": 3.21,
      "learning_rate": 9.465811965811966e-05,
      "loss": 34.2607,
      "step": 1000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.5342960288808665,
      "eval_loss": 33.67730712890625,
      "eval_runtime": 3.3621,
      "eval_samples_per_second": 82.389,
      "eval_steps_per_second": 10.41,
      "step": 1248
    },
    {
      "best_epoch": 2,
      "best_eval_accuracy": 0.5342960288808665,
      "epoch": 4.0,
      "step": 1248
    },
    {
      "epoch": 4.81,
      "learning_rate": 9.198717948717949e-05,
      "loss": 33.8346,
      "step": 1500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 33.36012268066406,
      "eval_runtime": 3.3664,
      "eval_samples_per_second": 82.284,
      "eval_steps_per_second": 10.397,
      "step": 1560
    },
    {
      "best_epoch": 2,
      "best_eval_accuracy": 0.5342960288808665,
      "epoch": 5.0,
      "step": 1560
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.5234657039711191,
      "eval_loss": 32.93340301513672,
      "eval_runtime": 3.3715,
      "eval_samples_per_second": 82.159,
      "eval_steps_per_second": 10.381,
      "step": 1872
    },
    {
      "best_epoch": 2,
      "best_eval_accuracy": 0.5342960288808665,
      "epoch": 6.0,
      "step": 1872
    },
    {
      "epoch": 6.41,
      "learning_rate": 8.931623931623932e-05,
      "loss": 33.2988,
      "step": 2000
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.5451263537906137,
      "eval_loss": 32.40928268432617,
      "eval_runtime": 3.3808,
      "eval_samples_per_second": 81.934,
      "eval_steps_per_second": 10.353,
      "step": 2184
    },
    {
      "best_epoch": 6,
      "best_eval_accuracy": 0.5451263537906137,
      "epoch": 7.0,
      "step": 2184
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.5342960288808665,
      "eval_loss": 31.661354064941406,
      "eval_runtime": 3.3736,
      "eval_samples_per_second": 82.109,
      "eval_steps_per_second": 10.375,
      "step": 2496
    },
    {
      "best_epoch": 6,
      "best_eval_accuracy": 0.5451263537906137,
      "epoch": 8.0,
      "step": 2496
    },
    {
      "epoch": 8.01,
      "learning_rate": 8.664529914529916e-05,
      "loss": 32.523,
      "step": 2500
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.5487364620938628,
      "eval_loss": 31.12422752380371,
      "eval_runtime": 3.3782,
      "eval_samples_per_second": 81.996,
      "eval_steps_per_second": 10.36,
      "step": 2808
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 9.0,
      "step": 2808
    },
    {
      "epoch": 9.62,
      "learning_rate": 8.397435897435898e-05,
      "loss": 31.6421,
      "step": 3000
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 30.743305206298828,
      "eval_runtime": 3.3752,
      "eval_samples_per_second": 82.068,
      "eval_steps_per_second": 10.37,
      "step": 3120
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 10.0,
      "step": 3120
    },
    {
      "epoch": 11.0,
      "eval_accuracy": 0.49097472924187724,
      "eval_loss": 30.42652130126953,
      "eval_runtime": 3.3681,
      "eval_samples_per_second": 82.243,
      "eval_steps_per_second": 10.392,
      "step": 3432
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 11.0,
      "step": 3432
    },
    {
      "epoch": 11.22,
      "learning_rate": 8.13034188034188e-05,
      "loss": 30.9414,
      "step": 3500
    },
    {
      "epoch": 12.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 30.134010314941406,
      "eval_runtime": 3.3721,
      "eval_samples_per_second": 82.145,
      "eval_steps_per_second": 10.379,
      "step": 3744
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 12.0,
      "step": 3744
    },
    {
      "epoch": 12.82,
      "learning_rate": 7.863247863247864e-05,
      "loss": 30.3998,
      "step": 4000
    },
    {
      "epoch": 13.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 29.693998336791992,
      "eval_runtime": 3.3732,
      "eval_samples_per_second": 82.117,
      "eval_steps_per_second": 10.376,
      "step": 4056
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 13.0,
      "step": 4056
    },
    {
      "epoch": 14.0,
      "eval_accuracy": 0.48375451263537905,
      "eval_loss": 29.257352828979492,
      "eval_runtime": 3.363,
      "eval_samples_per_second": 82.367,
      "eval_steps_per_second": 10.407,
      "step": 4368
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 14.0,
      "step": 4368
    },
    {
      "epoch": 14.42,
      "learning_rate": 7.596153846153846e-05,
      "loss": 29.7765,
      "step": 4500
    },
    {
      "epoch": 15.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 28.920366287231445,
      "eval_runtime": 3.3576,
      "eval_samples_per_second": 82.499,
      "eval_steps_per_second": 10.424,
      "step": 4680
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 15.0,
      "step": 4680
    },
    {
      "epoch": 16.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 28.791555404663086,
      "eval_runtime": 3.354,
      "eval_samples_per_second": 82.589,
      "eval_steps_per_second": 10.435,
      "step": 4992
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 16.0,
      "step": 4992
    },
    {
      "epoch": 16.03,
      "learning_rate": 7.32905982905983e-05,
      "loss": 29.2672,
      "step": 5000
    },
    {
      "epoch": 17.0,
      "eval_accuracy": 0.5379061371841155,
      "eval_loss": 28.724546432495117,
      "eval_runtime": 3.3752,
      "eval_samples_per_second": 82.07,
      "eval_steps_per_second": 10.37,
      "step": 5304
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 17.0,
      "step": 5304
    },
    {
      "epoch": 17.63,
      "learning_rate": 7.061965811965813e-05,
      "loss": 29.0545,
      "step": 5500
    },
    {
      "epoch": 18.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 28.66559600830078,
      "eval_runtime": 3.3668,
      "eval_samples_per_second": 82.274,
      "eval_steps_per_second": 10.396,
      "step": 5616
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 18.0,
      "step": 5616
    },
    {
      "epoch": 19.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 28.61313247680664,
      "eval_runtime": 3.3665,
      "eval_samples_per_second": 82.282,
      "eval_steps_per_second": 10.397,
      "step": 5928
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 19.0,
      "step": 5928
    },
    {
      "epoch": 19.23,
      "learning_rate": 6.794871794871795e-05,
      "loss": 28.9469,
      "step": 6000
    },
    {
      "epoch": 20.0,
      "eval_accuracy": 0.5126353790613718,
      "eval_loss": 28.547107696533203,
      "eval_runtime": 3.349,
      "eval_samples_per_second": 82.711,
      "eval_steps_per_second": 10.451,
      "step": 6240
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 20.0,
      "step": 6240
    },
    {
      "epoch": 20.83,
      "learning_rate": 6.527777777777778e-05,
      "loss": 28.8473,
      "step": 6500
    },
    {
      "epoch": 21.0,
      "eval_accuracy": 0.5342960288808665,
      "eval_loss": 28.47603988647461,
      "eval_runtime": 3.3589,
      "eval_samples_per_second": 82.467,
      "eval_steps_per_second": 10.42,
      "step": 6552
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 21.0,
      "step": 6552
    },
    {
      "epoch": 22.0,
      "eval_accuracy": 0.47653429602888087,
      "eval_loss": 28.39781951904297,
      "eval_runtime": 3.3527,
      "eval_samples_per_second": 82.62,
      "eval_steps_per_second": 10.439,
      "step": 6864
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 22.0,
      "step": 6864
    },
    {
      "epoch": 22.44,
      "learning_rate": 6.260683760683761e-05,
      "loss": 28.7322,
      "step": 7000
    },
    {
      "epoch": 23.0,
      "eval_accuracy": 0.5270758122743683,
      "eval_loss": 28.30725860595703,
      "eval_runtime": 3.4739,
      "eval_samples_per_second": 79.736,
      "eval_steps_per_second": 10.075,
      "step": 7176
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 23.0,
      "step": 7176
    },
    {
      "epoch": 24.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 28.189701080322266,
      "eval_runtime": 6.9781,
      "eval_samples_per_second": 39.696,
      "eval_steps_per_second": 5.016,
      "step": 7488
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 24.0,
      "step": 7488
    },
    {
      "epoch": 24.04,
      "learning_rate": 5.9935897435897434e-05,
      "loss": 28.5992,
      "step": 7500
    },
    {
      "epoch": 25.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 28.04110336303711,
      "eval_runtime": 6.923,
      "eval_samples_per_second": 40.012,
      "eval_steps_per_second": 5.056,
      "step": 7800
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 25.0,
      "step": 7800
    },
    {
      "epoch": 25.64,
      "learning_rate": 5.726495726495726e-05,
      "loss": 28.4123,
      "step": 8000
    },
    {
      "epoch": 26.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 27.858659744262695,
      "eval_runtime": 6.9902,
      "eval_samples_per_second": 39.627,
      "eval_steps_per_second": 5.007,
      "step": 8112
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 26.0,
      "step": 8112
    },
    {
      "epoch": 27.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 27.61689567565918,
      "eval_runtime": 6.9084,
      "eval_samples_per_second": 40.096,
      "eval_steps_per_second": 5.066,
      "step": 8424
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 27.0,
      "step": 8424
    },
    {
      "epoch": 27.24,
      "learning_rate": 5.459401709401709e-05,
      "loss": 28.1552,
      "step": 8500
    },
    {
      "epoch": 28.0,
      "eval_accuracy": 0.5018050541516246,
      "eval_loss": 27.22528648376465,
      "eval_runtime": 6.9142,
      "eval_samples_per_second": 40.063,
      "eval_steps_per_second": 5.062,
      "step": 8736
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 28.0,
      "step": 8736
    },
    {
      "epoch": 28.85,
      "learning_rate": 5.192307692307693e-05,
      "loss": 27.7135,
      "step": 9000
    },
    {
      "epoch": 29.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 26.76430892944336,
      "eval_runtime": 6.9437,
      "eval_samples_per_second": 39.892,
      "eval_steps_per_second": 5.041,
      "step": 9048
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 29.0,
      "step": 9048
    },
    {
      "epoch": 30.0,
      "eval_accuracy": 0.4693140794223827,
      "eval_loss": 26.298063278198242,
      "eval_runtime": 6.9844,
      "eval_samples_per_second": 39.66,
      "eval_steps_per_second": 5.011,
      "step": 9360
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 30.0,
      "step": 9360
    },
    {
      "epoch": 30.45,
      "learning_rate": 4.925213675213676e-05,
      "loss": 27.1493,
      "step": 9500
    },
    {
      "epoch": 31.0,
      "eval_accuracy": 0.48736462093862815,
      "eval_loss": 25.955421447753906,
      "eval_runtime": 6.9659,
      "eval_samples_per_second": 39.765,
      "eval_steps_per_second": 5.024,
      "step": 9672
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 31.0,
      "step": 9672
    },
    {
      "epoch": 32.0,
      "eval_accuracy": 0.5018050541516246,
      "eval_loss": 25.657350540161133,
      "eval_runtime": 6.9745,
      "eval_samples_per_second": 39.716,
      "eval_steps_per_second": 5.018,
      "step": 9984
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 32.0,
      "step": 9984
    },
    {
      "epoch": 32.05,
      "learning_rate": 4.6581196581196586e-05,
      "loss": 26.68,
      "step": 10000
    },
    {
      "epoch": 33.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 25.384599685668945,
      "eval_runtime": 6.8861,
      "eval_samples_per_second": 40.226,
      "eval_steps_per_second": 5.083,
      "step": 10296
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 33.0,
      "step": 10296
    },
    {
      "epoch": 33.65,
      "learning_rate": 4.3910256410256415e-05,
      "loss": 26.3235,
      "step": 10500
    },
    {
      "epoch": 34.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 25.09762191772461,
      "eval_runtime": 6.9698,
      "eval_samples_per_second": 39.743,
      "eval_steps_per_second": 5.022,
      "step": 10608
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 34.0,
      "step": 10608
    },
    {
      "epoch": 35.0,
      "eval_accuracy": 0.48736462093862815,
      "eval_loss": 24.830303192138672,
      "eval_runtime": 6.869,
      "eval_samples_per_second": 40.326,
      "eval_steps_per_second": 5.095,
      "step": 10920
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 35.0,
      "step": 10920
    },
    {
      "epoch": 35.26,
      "learning_rate": 4.123931623931624e-05,
      "loss": 25.9833,
      "step": 11000
    },
    {
      "epoch": 36.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 24.58111572265625,
      "eval_runtime": 6.9415,
      "eval_samples_per_second": 39.905,
      "eval_steps_per_second": 5.042,
      "step": 11232
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 36.0,
      "step": 11232
    },
    {
      "epoch": 36.86,
      "learning_rate": 3.856837606837607e-05,
      "loss": 25.6663,
      "step": 11500
    },
    {
      "epoch": 37.0,
      "eval_accuracy": 0.48736462093862815,
      "eval_loss": 24.334089279174805,
      "eval_runtime": 6.9335,
      "eval_samples_per_second": 39.951,
      "eval_steps_per_second": 5.048,
      "step": 11544
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 37.0,
      "step": 11544
    },
    {
      "epoch": 38.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 24.107402801513672,
      "eval_runtime": 6.9704,
      "eval_samples_per_second": 39.74,
      "eval_steps_per_second": 5.021,
      "step": 11856
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 38.0,
      "step": 11856
    },
    {
      "epoch": 38.46,
      "learning_rate": 3.58974358974359e-05,
      "loss": 25.3808,
      "step": 12000
    },
    {
      "epoch": 39.0,
      "eval_accuracy": 0.48736462093862815,
      "eval_loss": 23.90985679626465,
      "eval_runtime": 6.9677,
      "eval_samples_per_second": 39.755,
      "eval_steps_per_second": 5.023,
      "step": 12168
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 39.0,
      "step": 12168
    },
    {
      "epoch": 40.0,
      "eval_accuracy": 0.5342960288808665,
      "eval_loss": 23.713809967041016,
      "eval_runtime": 6.9396,
      "eval_samples_per_second": 39.916,
      "eval_steps_per_second": 5.044,
      "step": 12480
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 40.0,
      "step": 12480
    },
    {
      "epoch": 40.06,
      "learning_rate": 3.3226495726495725e-05,
      "loss": 25.12,
      "step": 12500
    },
    {
      "epoch": 41.0,
      "eval_accuracy": 0.48736462093862815,
      "eval_loss": 23.543899536132812,
      "eval_runtime": 6.9165,
      "eval_samples_per_second": 40.049,
      "eval_steps_per_second": 5.06,
      "step": 12792
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 41.0,
      "step": 12792
    },
    {
      "epoch": 41.67,
      "learning_rate": 3.055555555555556e-05,
      "loss": 24.8956,
      "step": 13000
    },
    {
      "epoch": 42.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 23.37445068359375,
      "eval_runtime": 6.8672,
      "eval_samples_per_second": 40.337,
      "eval_steps_per_second": 5.097,
      "step": 13104
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 42.0,
      "step": 13104
    },
    {
      "epoch": 43.0,
      "eval_accuracy": 0.516245487364621,
      "eval_loss": 23.21479034423828,
      "eval_runtime": 6.9132,
      "eval_samples_per_second": 40.068,
      "eval_steps_per_second": 5.063,
      "step": 13416
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 43.0,
      "step": 13416
    },
    {
      "epoch": 43.27,
      "learning_rate": 2.7884615384615386e-05,
      "loss": 24.6833,
      "step": 13500
    },
    {
      "epoch": 44.0,
      "eval_accuracy": 0.47653429602888087,
      "eval_loss": 23.066547393798828,
      "eval_runtime": 6.9112,
      "eval_samples_per_second": 40.08,
      "eval_steps_per_second": 5.064,
      "step": 13728
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 44.0,
      "step": 13728
    },
    {
      "epoch": 44.87,
      "learning_rate": 2.5213675213675215e-05,
      "loss": 24.498,
      "step": 14000
    },
    {
      "epoch": 45.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 22.94559097290039,
      "eval_runtime": 6.8981,
      "eval_samples_per_second": 40.156,
      "eval_steps_per_second": 5.074,
      "step": 14040
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 45.0,
      "step": 14040
    },
    {
      "epoch": 46.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 22.820777893066406,
      "eval_runtime": 7.0625,
      "eval_samples_per_second": 39.221,
      "eval_steps_per_second": 4.956,
      "step": 14352
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 46.0,
      "step": 14352
    },
    {
      "epoch": 46.47,
      "learning_rate": 2.2542735042735044e-05,
      "loss": 24.3449,
      "step": 14500
    },
    {
      "epoch": 47.0,
      "eval_accuracy": 0.4693140794223827,
      "eval_loss": 22.708683013916016,
      "eval_runtime": 6.9043,
      "eval_samples_per_second": 40.12,
      "eval_steps_per_second": 5.069,
      "step": 14664
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 47.0,
      "step": 14664
    },
    {
      "epoch": 48.0,
      "eval_accuracy": 0.49097472924187724,
      "eval_loss": 22.61591911315918,
      "eval_runtime": 6.9037,
      "eval_samples_per_second": 40.123,
      "eval_steps_per_second": 5.07,
      "step": 14976
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 48.0,
      "step": 14976
    },
    {
      "epoch": 48.08,
      "learning_rate": 1.987179487179487e-05,
      "loss": 24.1996,
      "step": 15000
    },
    {
      "epoch": 49.0,
      "eval_accuracy": 0.48736462093862815,
      "eval_loss": 22.524272918701172,
      "eval_runtime": 6.9272,
      "eval_samples_per_second": 39.988,
      "eval_steps_per_second": 5.053,
      "step": 15288
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 49.0,
      "step": 15288
    },
    {
      "epoch": 49.68,
      "learning_rate": 1.7200854700854702e-05,
      "loss": 24.0892,
      "step": 15500
    },
    {
      "epoch": 50.0,
      "eval_accuracy": 0.48014440433212996,
      "eval_loss": 22.4456729888916,
      "eval_runtime": 6.99,
      "eval_samples_per_second": 39.628,
      "eval_steps_per_second": 5.007,
      "step": 15600
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 50.0,
      "step": 15600
    },
    {
      "epoch": 51.0,
      "eval_accuracy": 0.48375451263537905,
      "eval_loss": 22.372821807861328,
      "eval_runtime": 6.9415,
      "eval_samples_per_second": 39.905,
      "eval_steps_per_second": 5.042,
      "step": 15912
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 51.0,
      "step": 15912
    },
    {
      "epoch": 51.28,
      "learning_rate": 1.4529914529914531e-05,
      "loss": 23.9876,
      "step": 16000
    },
    {
      "epoch": 52.0,
      "eval_accuracy": 0.48736462093862815,
      "eval_loss": 22.30811882019043,
      "eval_runtime": 7.0623,
      "eval_samples_per_second": 39.222,
      "eval_steps_per_second": 4.956,
      "step": 16224
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 52.0,
      "step": 16224
    },
    {
      "epoch": 52.88,
      "learning_rate": 1.1858974358974359e-05,
      "loss": 23.9068,
      "step": 16500
    },
    {
      "epoch": 53.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 22.2525691986084,
      "eval_runtime": 6.9668,
      "eval_samples_per_second": 39.76,
      "eval_steps_per_second": 5.024,
      "step": 16536
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 53.0,
      "step": 16536
    },
    {
      "epoch": 54.0,
      "eval_accuracy": 0.48014440433212996,
      "eval_loss": 22.202903747558594,
      "eval_runtime": 6.949,
      "eval_samples_per_second": 39.862,
      "eval_steps_per_second": 5.037,
      "step": 16848
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 54.0,
      "step": 16848
    },
    {
      "epoch": 54.49,
      "learning_rate": 9.18803418803419e-06,
      "loss": 23.837,
      "step": 17000
    },
    {
      "epoch": 55.0,
      "eval_accuracy": 0.48736462093862815,
      "eval_loss": 22.162384033203125,
      "eval_runtime": 6.8592,
      "eval_samples_per_second": 40.384,
      "eval_steps_per_second": 5.103,
      "step": 17160
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 55.0,
      "step": 17160
    },
    {
      "epoch": 56.0,
      "eval_accuracy": 0.47653429602888087,
      "eval_loss": 22.128917694091797,
      "eval_runtime": 6.9017,
      "eval_samples_per_second": 40.135,
      "eval_steps_per_second": 5.071,
      "step": 17472
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 56.0,
      "step": 17472
    },
    {
      "epoch": 56.09,
      "learning_rate": 6.517094017094018e-06,
      "loss": 23.7911,
      "step": 17500
    },
    {
      "epoch": 57.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 22.10288429260254,
      "eval_runtime": 6.8789,
      "eval_samples_per_second": 40.268,
      "eval_steps_per_second": 5.088,
      "step": 17784
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 57.0,
      "step": 17784
    },
    {
      "epoch": 57.69,
      "learning_rate": 3.846153846153847e-06,
      "loss": 23.7521,
      "step": 18000
    },
    {
      "epoch": 58.0,
      "eval_accuracy": 0.4729241877256318,
      "eval_loss": 22.085439682006836,
      "eval_runtime": 6.9141,
      "eval_samples_per_second": 40.063,
      "eval_steps_per_second": 5.062,
      "step": 18096
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 58.0,
      "step": 18096
    },
    {
      "epoch": 59.0,
      "eval_accuracy": 0.47653429602888087,
      "eval_loss": 22.072628021240234,
      "eval_runtime": 6.9386,
      "eval_samples_per_second": 39.922,
      "eval_steps_per_second": 5.044,
      "step": 18408
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 59.0,
      "step": 18408
    },
    {
      "epoch": 59.29,
      "learning_rate": 1.1752136752136752e-06,
      "loss": 23.7328,
      "step": 18500
    },
    {
      "epoch": 60.0,
      "eval_accuracy": 0.48014440433212996,
      "eval_loss": 22.06844139099121,
      "eval_runtime": 6.938,
      "eval_samples_per_second": 39.925,
      "eval_steps_per_second": 5.045,
      "step": 18720
    },
    {
      "best_epoch": 8,
      "best_eval_accuracy": 0.5487364620938628,
      "epoch": 60.0,
      "step": 18720
    },
    {
      "epoch": 60.0,
      "step": 18720,
      "total_flos": 6.96152728406016e+16,
      "train_loss": 27.54990701267862,
      "train_runtime": 5178.2941,
      "train_samples_per_second": 28.851,
      "train_steps_per_second": 3.615
    }
  ],
  "max_steps": 18720,
  "num_train_epochs": 60,
  "total_flos": 6.96152728406016e+16,
  "trial_name": null,
  "trial_params": null
}