{
  "best_metric": 0.9772727272727273,
  "best_model_checkpoint": "beit-base-patch16-224-85-fold1/checkpoint-112",
  "epoch": 100.0,
  "eval_steps": 500,
  "global_step": 200,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5454545454545454,
      "eval_loss": 0.7308238744735718,
      "eval_runtime": 0.7278,
      "eval_samples_per_second": 60.457,
      "eval_steps_per_second": 2.748,
      "step": 2
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7045454545454546,
      "eval_loss": 0.7927291393280029,
      "eval_runtime": 0.7032,
      "eval_samples_per_second": 62.571,
      "eval_steps_per_second": 2.844,
      "step": 4
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7045454545454546,
      "eval_loss": 0.9672332406044006,
      "eval_runtime": 0.6786,
      "eval_samples_per_second": 64.835,
      "eval_steps_per_second": 2.947,
      "step": 6
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7045454545454546,
      "eval_loss": 0.6257070302963257,
      "eval_runtime": 0.6667,
      "eval_samples_per_second": 65.994,
      "eval_steps_per_second": 3.0,
      "step": 8
    },
    {
      "epoch": 5.0,
      "grad_norm": 11.562158584594727,
      "learning_rate": 2.5e-05,
      "loss": 0.6404,
      "step": 10
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.7954545454545454,
      "eval_loss": 0.4645519554615021,
      "eval_runtime": 0.6715,
      "eval_samples_per_second": 65.525,
      "eval_steps_per_second": 2.978,
      "step": 10
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.7045454545454546,
      "eval_loss": 0.5648249983787537,
      "eval_runtime": 0.6749,
      "eval_samples_per_second": 65.19,
      "eval_steps_per_second": 2.963,
      "step": 12
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.7727272727272727,
      "eval_loss": 0.4388914406299591,
      "eval_runtime": 0.6837,
      "eval_samples_per_second": 64.359,
      "eval_steps_per_second": 2.925,
      "step": 14
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.75,
      "eval_loss": 0.4522952139377594,
      "eval_runtime": 0.7027,
      "eval_samples_per_second": 62.616,
      "eval_steps_per_second": 2.846,
      "step": 16
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.75,
      "eval_loss": 0.46983444690704346,
      "eval_runtime": 0.6818,
      "eval_samples_per_second": 64.535,
      "eval_steps_per_second": 2.933,
      "step": 18
    },
    {
      "epoch": 10.0,
      "grad_norm": 8.737435340881348,
      "learning_rate": 5e-05,
      "loss": 0.455,
      "step": 20
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.8409090909090909,
      "eval_loss": 0.3706974983215332,
      "eval_runtime": 0.6808,
      "eval_samples_per_second": 64.631,
      "eval_steps_per_second": 2.938,
      "step": 20
    },
    {
      "epoch": 11.0,
      "eval_accuracy": 0.8181818181818182,
      "eval_loss": 0.35938122868537903,
      "eval_runtime": 0.6781,
      "eval_samples_per_second": 64.883,
      "eval_steps_per_second": 2.949,
      "step": 22
    },
    {
      "epoch": 12.0,
      "eval_accuracy": 0.7272727272727273,
      "eval_loss": 0.6136276721954346,
      "eval_runtime": 0.6807,
      "eval_samples_per_second": 64.643,
      "eval_steps_per_second": 2.938,
      "step": 24
    },
    {
      "epoch": 13.0,
      "eval_accuracy": 0.8863636363636364,
      "eval_loss": 0.30222317576408386,
      "eval_runtime": 0.6745,
      "eval_samples_per_second": 65.234,
      "eval_steps_per_second": 2.965,
      "step": 26
    },
    {
      "epoch": 14.0,
      "eval_accuracy": 0.8409090909090909,
      "eval_loss": 0.29185205698013306,
      "eval_runtime": 0.6861,
      "eval_samples_per_second": 64.127,
      "eval_steps_per_second": 2.915,
      "step": 28
    },
    {
      "epoch": 15.0,
      "grad_norm": 8.116207122802734,
      "learning_rate": 4.722222222222222e-05,
      "loss": 0.3981,
      "step": 30
    },
    {
      "epoch": 15.0,
      "eval_accuracy": 0.8181818181818182,
      "eval_loss": 0.3611550033092499,
      "eval_runtime": 0.6792,
      "eval_samples_per_second": 64.785,
      "eval_steps_per_second": 2.945,
      "step": 30
    },
    {
      "epoch": 16.0,
      "eval_accuracy": 0.8863636363636364,
      "eval_loss": 0.24922798573970795,
      "eval_runtime": 0.6808,
      "eval_samples_per_second": 64.63,
      "eval_steps_per_second": 2.938,
      "step": 32
    },
    {
      "epoch": 17.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.24598444998264313,
      "eval_runtime": 0.6781,
      "eval_samples_per_second": 64.888,
      "eval_steps_per_second": 2.949,
      "step": 34
    },
    {
      "epoch": 18.0,
      "eval_accuracy": 0.8636363636363636,
      "eval_loss": 0.2930772006511688,
      "eval_runtime": 0.6891,
      "eval_samples_per_second": 63.847,
      "eval_steps_per_second": 2.902,
      "step": 36
    },
    {
      "epoch": 19.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.18223300576210022,
      "eval_runtime": 0.6759,
      "eval_samples_per_second": 65.101,
      "eval_steps_per_second": 2.959,
      "step": 38
    },
    {
      "epoch": 20.0,
      "grad_norm": 15.090621948242188,
      "learning_rate": 4.4444444444444447e-05,
      "loss": 0.3257,
      "step": 40
    },
    {
      "epoch": 20.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.20600570738315582,
      "eval_runtime": 0.6756,
      "eval_samples_per_second": 65.128,
      "eval_steps_per_second": 2.96,
      "step": 40
    },
    {
      "epoch": 21.0,
      "eval_accuracy": 0.8863636363636364,
      "eval_loss": 0.21951809525489807,
      "eval_runtime": 0.6733,
      "eval_samples_per_second": 65.351,
      "eval_steps_per_second": 2.971,
      "step": 42
    },
    {
      "epoch": 22.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.2624146640300751,
      "eval_runtime": 0.6747,
      "eval_samples_per_second": 65.219,
      "eval_steps_per_second": 2.964,
      "step": 44
    },
    {
      "epoch": 23.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.2383754700422287,
      "eval_runtime": 0.6742,
      "eval_samples_per_second": 65.258,
      "eval_steps_per_second": 2.966,
      "step": 46
    },
    {
      "epoch": 24.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.1767176240682602,
      "eval_runtime": 0.6822,
      "eval_samples_per_second": 64.498,
      "eval_steps_per_second": 2.932,
      "step": 48
    },
    {
      "epoch": 25.0,
      "grad_norm": 8.298179626464844,
      "learning_rate": 4.166666666666667e-05,
      "loss": 0.2553,
      "step": 50
    },
    {
      "epoch": 25.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.20396804809570312,
      "eval_runtime": 0.6827,
      "eval_samples_per_second": 64.45,
      "eval_steps_per_second": 2.93,
      "step": 50
    },
    {
      "epoch": 26.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.1980859339237213,
      "eval_runtime": 0.6738,
      "eval_samples_per_second": 65.297,
      "eval_steps_per_second": 2.968,
      "step": 52
    },
    {
      "epoch": 27.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.18346600234508514,
      "eval_runtime": 0.6738,
      "eval_samples_per_second": 65.303,
      "eval_steps_per_second": 2.968,
      "step": 54
    },
    {
      "epoch": 28.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.1820111870765686,
      "eval_runtime": 0.6748,
      "eval_samples_per_second": 65.209,
      "eval_steps_per_second": 2.964,
      "step": 56
    },
    {
      "epoch": 29.0,
      "eval_accuracy": 0.9545454545454546,
      "eval_loss": 0.1465969681739807,
      "eval_runtime": 0.6762,
      "eval_samples_per_second": 65.067,
      "eval_steps_per_second": 2.958,
      "step": 58
    },
    {
      "epoch": 30.0,
      "grad_norm": 6.1258087158203125,
      "learning_rate": 3.888888888888889e-05,
      "loss": 0.2083,
      "step": 60
    },
    {
      "epoch": 30.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.16679802536964417,
      "eval_runtime": 0.6722,
      "eval_samples_per_second": 65.452,
      "eval_steps_per_second": 2.975,
      "step": 60
    },
    {
      "epoch": 31.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.2228713482618332,
      "eval_runtime": 0.6833,
      "eval_samples_per_second": 64.389,
      "eval_steps_per_second": 2.927,
      "step": 62
    },
    {
      "epoch": 32.0,
      "eval_accuracy": 0.9545454545454546,
      "eval_loss": 0.17827552556991577,
      "eval_runtime": 0.6819,
      "eval_samples_per_second": 64.521,
      "eval_steps_per_second": 2.933,
      "step": 64
    },
    {
      "epoch": 33.0,
      "eval_accuracy": 0.8863636363636364,
      "eval_loss": 0.19438548386096954,
      "eval_runtime": 0.6804,
      "eval_samples_per_second": 64.672,
      "eval_steps_per_second": 2.94,
      "step": 66
    },
    {
      "epoch": 34.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.30252915620803833,
      "eval_runtime": 0.6694,
      "eval_samples_per_second": 65.735,
      "eval_steps_per_second": 2.988,
      "step": 68
    },
    {
      "epoch": 35.0,
      "grad_norm": 10.506503105163574,
      "learning_rate": 3.611111111111111e-05,
      "loss": 0.2353,
      "step": 70
    },
    {
      "epoch": 35.0,
      "eval_accuracy": 0.8409090909090909,
      "eval_loss": 0.4457201659679413,
      "eval_runtime": 0.6705,
      "eval_samples_per_second": 65.624,
      "eval_steps_per_second": 2.983,
      "step": 70
    },
    {
      "epoch": 36.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.27586841583251953,
      "eval_runtime": 0.7004,
      "eval_samples_per_second": 62.824,
      "eval_steps_per_second": 2.856,
      "step": 72
    },
    {
      "epoch": 37.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.2178523689508438,
      "eval_runtime": 0.705,
      "eval_samples_per_second": 62.41,
      "eval_steps_per_second": 2.837,
      "step": 74
    },
    {
      "epoch": 38.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.39105215668678284,
      "eval_runtime": 0.7066,
      "eval_samples_per_second": 62.271,
      "eval_steps_per_second": 2.831,
      "step": 76
    },
    {
      "epoch": 39.0,
      "eval_accuracy": 0.8409090909090909,
      "eval_loss": 0.5785248279571533,
      "eval_runtime": 0.7084,
      "eval_samples_per_second": 62.115,
      "eval_steps_per_second": 2.823,
      "step": 78
    },
    {
      "epoch": 40.0,
      "grad_norm": 3.042407751083374,
      "learning_rate": 3.3333333333333335e-05,
      "loss": 0.1782,
      "step": 80
    },
    {
      "epoch": 40.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.2338746190071106,
      "eval_runtime": 0.6767,
      "eval_samples_per_second": 65.017,
      "eval_steps_per_second": 2.955,
      "step": 80
    },
    {
      "epoch": 41.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.23022708296775818,
      "eval_runtime": 0.6612,
      "eval_samples_per_second": 66.541,
      "eval_steps_per_second": 3.025,
      "step": 82
    },
    {
      "epoch": 42.0,
      "eval_accuracy": 0.8863636363636364,
      "eval_loss": 0.39668968319892883,
      "eval_runtime": 0.6712,
      "eval_samples_per_second": 65.555,
      "eval_steps_per_second": 2.98,
      "step": 84
    },
    {
      "epoch": 43.0,
      "eval_accuracy": 0.8636363636363636,
      "eval_loss": 0.4447011649608612,
      "eval_runtime": 0.6775,
      "eval_samples_per_second": 64.94,
      "eval_steps_per_second": 2.952,
      "step": 86
    },
    {
      "epoch": 44.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.20197413861751556,
      "eval_runtime": 0.6933,
      "eval_samples_per_second": 63.464,
      "eval_steps_per_second": 2.885,
      "step": 88
    },
    {
      "epoch": 45.0,
      "grad_norm": 6.790353775024414,
      "learning_rate": 3.055555555555556e-05,
      "loss": 0.2059,
      "step": 90
    },
    {
      "epoch": 45.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.191122904419899,
      "eval_runtime": 0.6988,
      "eval_samples_per_second": 62.967,
      "eval_steps_per_second": 2.862,
      "step": 90
    },
    {
      "epoch": 46.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.26089540123939514,
      "eval_runtime": 0.6777,
      "eval_samples_per_second": 64.925,
      "eval_steps_per_second": 2.951,
      "step": 92
    },
    {
      "epoch": 47.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.2924693822860718,
      "eval_runtime": 0.6842,
      "eval_samples_per_second": 64.304,
      "eval_steps_per_second": 2.923,
      "step": 94
    },
    {
      "epoch": 48.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.2078903764486313,
      "eval_runtime": 0.693,
      "eval_samples_per_second": 63.488,
      "eval_steps_per_second": 2.886,
      "step": 96
    },
    {
      "epoch": 49.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.18529368937015533,
      "eval_runtime": 0.6921,
      "eval_samples_per_second": 63.572,
      "eval_steps_per_second": 2.89,
      "step": 98
    },
    {
      "epoch": 50.0,
      "grad_norm": 4.374385833740234,
      "learning_rate": 2.777777777777778e-05,
      "loss": 0.1706,
      "step": 100
    },
    {
      "epoch": 50.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.2860322594642639,
      "eval_runtime": 0.697,
      "eval_samples_per_second": 63.13,
      "eval_steps_per_second": 2.87,
      "step": 100
    },
    {
      "epoch": 51.0,
      "eval_accuracy": 0.8636363636363636,
      "eval_loss": 0.3734706938266754,
      "eval_runtime": 0.6878,
      "eval_samples_per_second": 63.971,
      "eval_steps_per_second": 2.908,
      "step": 102
    },
    {
      "epoch": 52.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.19677944481372833,
      "eval_runtime": 0.6875,
      "eval_samples_per_second": 63.996,
      "eval_steps_per_second": 2.909,
      "step": 104
    },
    {
      "epoch": 53.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.17221951484680176,
      "eval_runtime": 0.679,
      "eval_samples_per_second": 64.798,
      "eval_steps_per_second": 2.945,
      "step": 106
    },
    {
      "epoch": 54.0,
      "eval_accuracy": 0.8636363636363636,
      "eval_loss": 0.312281996011734,
      "eval_runtime": 0.6832,
      "eval_samples_per_second": 64.399,
      "eval_steps_per_second": 2.927,
      "step": 108
    },
    {
      "epoch": 55.0,
      "grad_norm": 3.807600259780884,
      "learning_rate": 2.5e-05,
      "loss": 0.1429,
      "step": 110
    },
    {
      "epoch": 55.0,
      "eval_accuracy": 0.8863636363636364,
      "eval_loss": 0.32969653606414795,
      "eval_runtime": 0.6845,
      "eval_samples_per_second": 64.284,
      "eval_steps_per_second": 2.922,
      "step": 110
    },
    {
      "epoch": 56.0,
      "eval_accuracy": 0.9772727272727273,
      "eval_loss": 0.14295423030853271,
      "eval_runtime": 0.6744,
      "eval_samples_per_second": 65.244,
      "eval_steps_per_second": 2.966,
      "step": 112
    },
    {
      "epoch": 57.0,
      "eval_accuracy": 0.9772727272727273,
      "eval_loss": 0.11342933028936386,
      "eval_runtime": 0.6865,
      "eval_samples_per_second": 64.09,
      "eval_steps_per_second": 2.913,
      "step": 114
    },
    {
      "epoch": 58.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.231190487742424,
      "eval_runtime": 0.6772,
      "eval_samples_per_second": 64.97,
      "eval_steps_per_second": 2.953,
      "step": 116
    },
    {
      "epoch": 59.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.28261473774909973,
      "eval_runtime": 0.6857,
      "eval_samples_per_second": 64.163,
      "eval_steps_per_second": 2.917,
      "step": 118
    },
    {
      "epoch": 60.0,
      "grad_norm": 3.425337314605713,
      "learning_rate": 2.2222222222222223e-05,
      "loss": 0.1325,
      "step": 120
    },
    {
      "epoch": 60.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.2417471557855606,
      "eval_runtime": 0.6829,
      "eval_samples_per_second": 64.43,
      "eval_steps_per_second": 2.929,
      "step": 120
    },
    {
      "epoch": 61.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.139329731464386,
      "eval_runtime": 0.6819,
      "eval_samples_per_second": 64.521,
      "eval_steps_per_second": 2.933,
      "step": 122
    },
    {
      "epoch": 62.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.21779733896255493,
      "eval_runtime": 0.6874,
      "eval_samples_per_second": 64.008,
      "eval_steps_per_second": 2.909,
      "step": 124
    },
    {
      "epoch": 63.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.3990946114063263,
      "eval_runtime": 0.6762,
      "eval_samples_per_second": 65.068,
      "eval_steps_per_second": 2.958,
      "step": 126
    },
    {
      "epoch": 64.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.33248183131217957,
      "eval_runtime": 0.6851,
      "eval_samples_per_second": 64.222,
      "eval_steps_per_second": 2.919,
      "step": 128
    },
    {
      "epoch": 65.0,
      "grad_norm": 3.3198602199554443,
      "learning_rate": 1.9444444444444445e-05,
      "loss": 0.1481,
      "step": 130
    },
    {
      "epoch": 65.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.23272232711315155,
      "eval_runtime": 0.6764,
      "eval_samples_per_second": 65.054,
      "eval_steps_per_second": 2.957,
      "step": 130
    },
    {
      "epoch": 66.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.28850874304771423,
      "eval_runtime": 0.6864,
      "eval_samples_per_second": 64.098,
      "eval_steps_per_second": 2.914,
      "step": 132
    },
    {
      "epoch": 67.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.3575742840766907,
      "eval_runtime": 0.692,
      "eval_samples_per_second": 63.587,
      "eval_steps_per_second": 2.89,
      "step": 134
    },
    {
      "epoch": 68.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.26858440041542053,
      "eval_runtime": 0.6743,
      "eval_samples_per_second": 65.257,
      "eval_steps_per_second": 2.966,
      "step": 136
    },
    {
      "epoch": 69.0,
      "eval_accuracy": 0.9545454545454546,
      "eval_loss": 0.1716589480638504,
      "eval_runtime": 0.6829,
      "eval_samples_per_second": 64.43,
      "eval_steps_per_second": 2.929,
      "step": 138
    },
    {
      "epoch": 70.0,
      "grad_norm": 4.273709774017334,
      "learning_rate": 1.6666666666666667e-05,
      "loss": 0.1237,
      "step": 140
    },
    {
      "epoch": 70.0,
      "eval_accuracy": 0.9545454545454546,
      "eval_loss": 0.14934584498405457,
      "eval_runtime": 0.6712,
      "eval_samples_per_second": 65.551,
      "eval_steps_per_second": 2.98,
      "step": 140
    },
    {
      "epoch": 71.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.1428576558828354,
      "eval_runtime": 0.6789,
      "eval_samples_per_second": 64.814,
      "eval_steps_per_second": 2.946,
      "step": 142
    },
    {
      "epoch": 72.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.1789616346359253,
      "eval_runtime": 0.6831,
      "eval_samples_per_second": 64.412,
      "eval_steps_per_second": 2.928,
      "step": 144
    },
    {
      "epoch": 73.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.1590358167886734,
      "eval_runtime": 0.6785,
      "eval_samples_per_second": 64.853,
      "eval_steps_per_second": 2.948,
      "step": 146
    },
    {
      "epoch": 74.0,
      "eval_accuracy": 0.8863636363636364,
      "eval_loss": 0.19707775115966797,
      "eval_runtime": 0.6779,
      "eval_samples_per_second": 64.91,
      "eval_steps_per_second": 2.95,
      "step": 148
    },
    {
      "epoch": 75.0,
      "grad_norm": 3.867281436920166,
      "learning_rate": 1.388888888888889e-05,
      "loss": 0.105,
      "step": 150
    },
    {
      "epoch": 75.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.22291280329227448,
      "eval_runtime": 0.6754,
      "eval_samples_per_second": 65.149,
      "eval_steps_per_second": 2.961,
      "step": 150
    },
    {
      "epoch": 76.0,
      "eval_accuracy": 0.8863636363636364,
      "eval_loss": 0.17888131737709045,
      "eval_runtime": 0.6771,
      "eval_samples_per_second": 64.982,
      "eval_steps_per_second": 2.954,
      "step": 152
    },
    {
      "epoch": 77.0,
      "eval_accuracy": 0.9545454545454546,
      "eval_loss": 0.16707843542099,
      "eval_runtime": 0.6843,
      "eval_samples_per_second": 64.299,
      "eval_steps_per_second": 2.923,
      "step": 154
    },
    {
      "epoch": 78.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.24351829290390015,
      "eval_runtime": 0.6914,
      "eval_samples_per_second": 63.642,
      "eval_steps_per_second": 2.893,
      "step": 156
    },
    {
      "epoch": 79.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.2658483386039734,
      "eval_runtime": 0.6856,
      "eval_samples_per_second": 64.176,
      "eval_steps_per_second": 2.917,
      "step": 158
    },
    {
      "epoch": 80.0,
      "grad_norm": 2.501020908355713,
      "learning_rate": 1.1111111111111112e-05,
      "loss": 0.0923,
      "step": 160
    },
    {
      "epoch": 80.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.20919661223888397,
      "eval_runtime": 0.6861,
      "eval_samples_per_second": 64.132,
      "eval_steps_per_second": 2.915,
      "step": 160
    },
    {
      "epoch": 81.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.17477592825889587,
      "eval_runtime": 0.6775,
      "eval_samples_per_second": 64.946,
      "eval_steps_per_second": 2.952,
      "step": 162
    },
    {
      "epoch": 82.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.1727462261915207,
      "eval_runtime": 0.6757,
      "eval_samples_per_second": 65.116,
      "eval_steps_per_second": 2.96,
      "step": 164
    },
    {
      "epoch": 83.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.1945178508758545,
      "eval_runtime": 0.6723,
      "eval_samples_per_second": 65.443,
      "eval_steps_per_second": 2.975,
      "step": 166
    },
    {
      "epoch": 84.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.24294686317443848,
      "eval_runtime": 0.6772,
      "eval_samples_per_second": 64.978,
      "eval_steps_per_second": 2.954,
      "step": 168
    },
    {
      "epoch": 85.0,
      "grad_norm": 3.9196958541870117,
      "learning_rate": 8.333333333333334e-06,
      "loss": 0.1033,
      "step": 170
    },
    {
      "epoch": 85.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.2795504331588745,
      "eval_runtime": 0.6951,
      "eval_samples_per_second": 63.299,
      "eval_steps_per_second": 2.877,
      "step": 170
    },
    {
      "epoch": 86.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.2548198401927948,
      "eval_runtime": 0.6876,
      "eval_samples_per_second": 63.99,
      "eval_steps_per_second": 2.909,
      "step": 172
    },
    {
      "epoch": 87.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.2379317283630371,
      "eval_runtime": 0.6842,
      "eval_samples_per_second": 64.312,
      "eval_steps_per_second": 2.923,
      "step": 174
    },
    {
      "epoch": 88.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.2408948391675949,
      "eval_runtime": 0.6803,
      "eval_samples_per_second": 64.68,
      "eval_steps_per_second": 2.94,
      "step": 176
    },
    {
      "epoch": 89.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.24209485948085785,
      "eval_runtime": 0.6754,
      "eval_samples_per_second": 65.142,
      "eval_steps_per_second": 2.961,
      "step": 178
    },
    {
      "epoch": 90.0,
      "grad_norm": 2.0967917442321777,
      "learning_rate": 5.555555555555556e-06,
      "loss": 0.1073,
      "step": 180
    },
    {
      "epoch": 90.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.23317375779151917,
      "eval_runtime": 0.6747,
      "eval_samples_per_second": 65.214,
      "eval_steps_per_second": 2.964,
      "step": 180
    },
    {
      "epoch": 91.0,
      "eval_accuracy": 0.9090909090909091,
      "eval_loss": 0.22311018407344818,
      "eval_runtime": 0.6758,
      "eval_samples_per_second": 65.111,
      "eval_steps_per_second": 2.96,
      "step": 182
    },
    {
      "epoch": 92.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.21525071561336517,
      "eval_runtime": 0.6873,
      "eval_samples_per_second": 64.018,
      "eval_steps_per_second": 2.91,
      "step": 184
    },
    {
      "epoch": 93.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.20876212418079376,
      "eval_runtime": 0.6844,
      "eval_samples_per_second": 64.295,
      "eval_steps_per_second": 2.922,
      "step": 186
    },
    {
      "epoch": 94.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.20578283071517944,
      "eval_runtime": 0.6983,
      "eval_samples_per_second": 63.011,
      "eval_steps_per_second": 2.864,
      "step": 188
    },
    {
      "epoch": 95.0,
      "grad_norm": 2.9749207496643066,
      "learning_rate": 2.777777777777778e-06,
      "loss": 0.104,
      "step": 190
    },
    {
      "epoch": 95.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.20398248732089996,
      "eval_runtime": 0.6745,
      "eval_samples_per_second": 65.237,
      "eval_steps_per_second": 2.965,
      "step": 190
    },
    {
      "epoch": 96.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.20461073517799377,
      "eval_runtime": 0.673,
      "eval_samples_per_second": 65.381,
      "eval_steps_per_second": 2.972,
      "step": 192
    },
    {
      "epoch": 97.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.20431600511074066,
      "eval_runtime": 0.6746,
      "eval_samples_per_second": 65.228,
      "eval_steps_per_second": 2.965,
      "step": 194
    },
    {
      "epoch": 98.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.20564264059066772,
      "eval_runtime": 0.6795,
      "eval_samples_per_second": 64.751,
      "eval_steps_per_second": 2.943,
      "step": 196
    },
    {
      "epoch": 99.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.20811475813388824,
      "eval_runtime": 0.6891,
      "eval_samples_per_second": 63.849,
      "eval_steps_per_second": 2.902,
      "step": 198
    },
    {
      "epoch": 100.0,
      "grad_norm": 2.3249521255493164,
      "learning_rate": 0.0,
      "loss": 0.0896,
      "step": 200
    },
    {
      "epoch": 100.0,
      "eval_accuracy": 0.9318181818181818,
      "eval_loss": 0.2097294181585312,
      "eval_runtime": 0.686,
      "eval_samples_per_second": 64.143,
      "eval_steps_per_second": 2.916,
      "step": 200
    },
    {
      "epoch": 100.0,
      "step": 200,
      "total_flos": 1.8822505078960128e+18,
      "train_loss": 0.21107831209897995,
      "train_runtime": 1239.3905,
      "train_samples_per_second": 19.606,
      "train_steps_per_second": 0.161
    },
    {
      "epoch": 100.0,
      "eval_accuracy": 0.9772727272727273,
      "eval_loss": 0.14295423030853271,
      "eval_runtime": 0.7189,
      "eval_samples_per_second": 61.203,
      "eval_steps_per_second": 2.782,
      "step": 200
    }
  ],
  "logging_steps": 10,
  "max_steps": 200,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 100,
  "save_steps": 500,
  "total_flos": 1.8822505078960128e+18,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}