{
  "best_metric": 0.810126582278481,
  "best_model_checkpoint": "deit-base-distilled-patch16-224-55-fold2/checkpoint-101",
  "epoch": 85.71428571428571,
  "eval_steps": 500,
  "global_step": 300,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.8571428571428571,
      "eval_accuracy": 0.5443037974683544,
      "eval_loss": 0.7763431072235107,
      "eval_runtime": 1.1332,
      "eval_samples_per_second": 69.717,
      "eval_steps_per_second": 2.647,
      "step": 3
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.620253164556962,
      "eval_loss": 0.6779789328575134,
      "eval_runtime": 1.1183,
      "eval_samples_per_second": 70.64,
      "eval_steps_per_second": 2.683,
      "step": 7
    },
    {
      "epoch": 2.857142857142857,
      "grad_norm": 2.252147674560547,
      "learning_rate": 1.6666666666666667e-05,
      "loss": 0.721,
      "step": 10
    },
    {
      "epoch": 2.857142857142857,
      "eval_accuracy": 0.5316455696202531,
      "eval_loss": 0.6954271793365479,
      "eval_runtime": 1.1555,
      "eval_samples_per_second": 68.371,
      "eval_steps_per_second": 2.596,
      "step": 10
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.620253164556962,
      "eval_loss": 0.6370497941970825,
      "eval_runtime": 1.1498,
      "eval_samples_per_second": 68.706,
      "eval_steps_per_second": 2.609,
      "step": 14
    },
    {
      "epoch": 4.857142857142857,
      "eval_accuracy": 0.5949367088607594,
      "eval_loss": 0.6104753017425537,
      "eval_runtime": 1.1377,
      "eval_samples_per_second": 69.439,
      "eval_steps_per_second": 2.637,
      "step": 17
    },
    {
      "epoch": 5.714285714285714,
      "grad_norm": 3.993246555328369,
      "learning_rate": 3.3333333333333335e-05,
      "loss": 0.6207,
      "step": 20
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.6835443037974683,
      "eval_loss": 0.5798102021217346,
      "eval_runtime": 1.1138,
      "eval_samples_per_second": 70.93,
      "eval_steps_per_second": 2.694,
      "step": 21
    },
    {
      "epoch": 6.857142857142857,
      "eval_accuracy": 0.7468354430379747,
      "eval_loss": 0.5703896880149841,
      "eval_runtime": 1.1441,
      "eval_samples_per_second": 69.05,
      "eval_steps_per_second": 2.622,
      "step": 24
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.7088607594936709,
      "eval_loss": 0.5878576636314392,
      "eval_runtime": 1.1443,
      "eval_samples_per_second": 69.035,
      "eval_steps_per_second": 2.622,
      "step": 28
    },
    {
      "epoch": 8.571428571428571,
      "grad_norm": 8.652019500732422,
      "learning_rate": 5e-05,
      "loss": 0.5427,
      "step": 30
    },
    {
      "epoch": 8.857142857142858,
      "eval_accuracy": 0.6582278481012658,
      "eval_loss": 0.6726908087730408,
      "eval_runtime": 1.1277,
      "eval_samples_per_second": 70.055,
      "eval_steps_per_second": 2.66,
      "step": 31
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.6962025316455697,
      "eval_loss": 0.5840915441513062,
      "eval_runtime": 1.1335,
      "eval_samples_per_second": 69.694,
      "eval_steps_per_second": 2.647,
      "step": 35
    },
    {
      "epoch": 10.857142857142858,
      "eval_accuracy": 0.6962025316455697,
      "eval_loss": 0.605922520160675,
      "eval_runtime": 1.1431,
      "eval_samples_per_second": 69.11,
      "eval_steps_per_second": 2.624,
      "step": 38
    },
    {
      "epoch": 11.428571428571429,
      "grad_norm": 6.731996059417725,
      "learning_rate": 4.814814814814815e-05,
      "loss": 0.4775,
      "step": 40
    },
    {
      "epoch": 12.0,
      "eval_accuracy": 0.6075949367088608,
      "eval_loss": 1.0271003246307373,
      "eval_runtime": 1.1385,
      "eval_samples_per_second": 69.392,
      "eval_steps_per_second": 2.635,
      "step": 42
    },
    {
      "epoch": 12.857142857142858,
      "eval_accuracy": 0.7088607594936709,
      "eval_loss": 0.6412355303764343,
      "eval_runtime": 1.1419,
      "eval_samples_per_second": 69.181,
      "eval_steps_per_second": 2.627,
      "step": 45
    },
    {
      "epoch": 14.0,
      "eval_accuracy": 0.6582278481012658,
      "eval_loss": 0.8064222931861877,
      "eval_runtime": 1.1524,
      "eval_samples_per_second": 68.552,
      "eval_steps_per_second": 2.603,
      "step": 49
    },
    {
      "epoch": 14.285714285714286,
      "grad_norm": 9.111239433288574,
      "learning_rate": 4.62962962962963e-05,
      "loss": 0.4961,
      "step": 50
    },
    {
      "epoch": 14.857142857142858,
      "eval_accuracy": 0.6582278481012658,
      "eval_loss": 0.5599769949913025,
      "eval_runtime": 1.1323,
      "eval_samples_per_second": 69.767,
      "eval_steps_per_second": 2.649,
      "step": 52
    },
    {
      "epoch": 16.0,
      "eval_accuracy": 0.6708860759493671,
      "eval_loss": 0.5889371633529663,
      "eval_runtime": 1.1493,
      "eval_samples_per_second": 68.735,
      "eval_steps_per_second": 2.61,
      "step": 56
    },
    {
      "epoch": 16.857142857142858,
      "eval_accuracy": 0.6835443037974683,
      "eval_loss": 0.8380601406097412,
      "eval_runtime": 1.1402,
      "eval_samples_per_second": 69.284,
      "eval_steps_per_second": 2.631,
      "step": 59
    },
    {
      "epoch": 17.142857142857142,
      "grad_norm": 9.676458358764648,
      "learning_rate": 4.4444444444444447e-05,
      "loss": 0.4391,
      "step": 60
    },
    {
      "epoch": 18.0,
      "eval_accuracy": 0.6962025316455697,
      "eval_loss": 0.6724734902381897,
      "eval_runtime": 1.1265,
      "eval_samples_per_second": 70.13,
      "eval_steps_per_second": 2.663,
      "step": 63
    },
    {
      "epoch": 18.857142857142858,
      "eval_accuracy": 0.7215189873417721,
      "eval_loss": 0.5349910855293274,
      "eval_runtime": 1.1568,
      "eval_samples_per_second": 68.293,
      "eval_steps_per_second": 2.593,
      "step": 66
    },
    {
      "epoch": 20.0,
      "grad_norm": 5.236982822418213,
      "learning_rate": 4.259259259259259e-05,
      "loss": 0.413,
      "step": 70
    },
    {
      "epoch": 20.0,
      "eval_accuracy": 0.7088607594936709,
      "eval_loss": 0.6033266186714172,
      "eval_runtime": 1.1208,
      "eval_samples_per_second": 70.483,
      "eval_steps_per_second": 2.677,
      "step": 70
    },
    {
      "epoch": 20.857142857142858,
      "eval_accuracy": 0.6835443037974683,
      "eval_loss": 0.7280053496360779,
      "eval_runtime": 1.1275,
      "eval_samples_per_second": 70.064,
      "eval_steps_per_second": 2.661,
      "step": 73
    },
    {
      "epoch": 22.0,
      "eval_accuracy": 0.7341772151898734,
      "eval_loss": 0.6081877946853638,
      "eval_runtime": 1.1526,
      "eval_samples_per_second": 68.541,
      "eval_steps_per_second": 2.603,
      "step": 77
    },
    {
      "epoch": 22.857142857142858,
      "grad_norm": 3.7129807472229004,
      "learning_rate": 4.074074074074074e-05,
      "loss": 0.336,
      "step": 80
    },
    {
      "epoch": 22.857142857142858,
      "eval_accuracy": 0.759493670886076,
      "eval_loss": 0.6529555916786194,
      "eval_runtime": 1.1446,
      "eval_samples_per_second": 69.021,
      "eval_steps_per_second": 2.621,
      "step": 80
    },
    {
      "epoch": 24.0,
      "eval_accuracy": 0.7088607594936709,
      "eval_loss": 0.6921886205673218,
      "eval_runtime": 1.1486,
      "eval_samples_per_second": 68.779,
      "eval_steps_per_second": 2.612,
      "step": 84
    },
    {
      "epoch": 24.857142857142858,
      "eval_accuracy": 0.7088607594936709,
      "eval_loss": 0.6648610234260559,
      "eval_runtime": 1.1222,
      "eval_samples_per_second": 70.395,
      "eval_steps_per_second": 2.673,
      "step": 87
    },
    {
      "epoch": 25.714285714285715,
      "grad_norm": 2.387436866760254,
      "learning_rate": 3.888888888888889e-05,
      "loss": 0.2745,
      "step": 90
    },
    {
      "epoch": 26.0,
      "eval_accuracy": 0.7088607594936709,
      "eval_loss": 0.7311040163040161,
      "eval_runtime": 1.1344,
      "eval_samples_per_second": 69.64,
      "eval_steps_per_second": 2.645,
      "step": 91
    },
    {
      "epoch": 26.857142857142858,
      "eval_accuracy": 0.7088607594936709,
      "eval_loss": 0.7192353010177612,
      "eval_runtime": 1.1573,
      "eval_samples_per_second": 68.263,
      "eval_steps_per_second": 2.592,
      "step": 94
    },
    {
      "epoch": 28.0,
      "eval_accuracy": 0.7215189873417721,
      "eval_loss": 0.7408412098884583,
      "eval_runtime": 1.1424,
      "eval_samples_per_second": 69.154,
      "eval_steps_per_second": 2.626,
      "step": 98
    },
    {
      "epoch": 28.571428571428573,
      "grad_norm": 6.9804277420043945,
      "learning_rate": 3.7037037037037037e-05,
      "loss": 0.2494,
      "step": 100
    },
    {
      "epoch": 28.857142857142858,
      "eval_accuracy": 0.810126582278481,
      "eval_loss": 0.5842322111129761,
      "eval_runtime": 1.1414,
      "eval_samples_per_second": 69.212,
      "eval_steps_per_second": 2.628,
      "step": 101
    },
    {
      "epoch": 30.0,
      "eval_accuracy": 0.759493670886076,
      "eval_loss": 0.5948711037635803,
      "eval_runtime": 1.1375,
      "eval_samples_per_second": 69.448,
      "eval_steps_per_second": 2.637,
      "step": 105
    },
    {
      "epoch": 30.857142857142858,
      "eval_accuracy": 0.7468354430379747,
      "eval_loss": 0.6884945034980774,
      "eval_runtime": 1.1212,
      "eval_samples_per_second": 70.462,
      "eval_steps_per_second": 2.676,
      "step": 108
    },
    {
      "epoch": 31.428571428571427,
      "grad_norm": 2.36922287940979,
      "learning_rate": 3.518518518518519e-05,
      "loss": 0.2291,
      "step": 110
    },
    {
      "epoch": 32.0,
      "eval_accuracy": 0.7088607594936709,
      "eval_loss": 0.874555766582489,
      "eval_runtime": 1.1468,
      "eval_samples_per_second": 68.887,
      "eval_steps_per_second": 2.616,
      "step": 112
    },
    {
      "epoch": 32.857142857142854,
      "eval_accuracy": 0.7088607594936709,
      "eval_loss": 0.800529420375824,
      "eval_runtime": 1.1336,
      "eval_samples_per_second": 69.688,
      "eval_steps_per_second": 2.646,
      "step": 115
    },
    {
      "epoch": 34.0,
      "eval_accuracy": 0.7341772151898734,
      "eval_loss": 0.7033743858337402,
      "eval_runtime": 1.1296,
      "eval_samples_per_second": 69.939,
      "eval_steps_per_second": 2.656,
      "step": 119
    },
    {
      "epoch": 34.285714285714285,
      "grad_norm": 3.042140483856201,
      "learning_rate": 3.3333333333333335e-05,
      "loss": 0.2,
      "step": 120
    },
    {
      "epoch": 34.857142857142854,
      "eval_accuracy": 0.7088607594936709,
      "eval_loss": 0.7047172784805298,
      "eval_runtime": 1.141,
      "eval_samples_per_second": 69.24,
      "eval_steps_per_second": 2.629,
      "step": 122
    },
    {
      "epoch": 36.0,
      "eval_accuracy": 0.7341772151898734,
      "eval_loss": 0.8362169861793518,
      "eval_runtime": 1.1313,
      "eval_samples_per_second": 69.828,
      "eval_steps_per_second": 2.652,
      "step": 126
    },
    {
      "epoch": 36.857142857142854,
      "eval_accuracy": 0.7468354430379747,
      "eval_loss": 0.8509089946746826,
      "eval_runtime": 1.1603,
      "eval_samples_per_second": 68.085,
      "eval_steps_per_second": 2.586,
      "step": 129
    },
    {
      "epoch": 37.142857142857146,
      "grad_norm": 2.2762393951416016,
      "learning_rate": 3.148148148148148e-05,
      "loss": 0.1674,
      "step": 130
    },
    {
      "epoch": 38.0,
      "eval_accuracy": 0.759493670886076,
      "eval_loss": 0.9237213134765625,
      "eval_runtime": 1.1366,
      "eval_samples_per_second": 69.505,
      "eval_steps_per_second": 2.639,
      "step": 133
    },
    {
      "epoch": 38.857142857142854,
      "eval_accuracy": 0.759493670886076,
      "eval_loss": 0.7526997327804565,
      "eval_runtime": 1.1354,
      "eval_samples_per_second": 69.579,
      "eval_steps_per_second": 2.642,
      "step": 136
    },
    {
      "epoch": 40.0,
      "grad_norm": 4.063281059265137,
      "learning_rate": 2.962962962962963e-05,
      "loss": 0.1764,
      "step": 140
    },
    {
      "epoch": 40.0,
      "eval_accuracy": 0.7468354430379747,
      "eval_loss": 0.7904393076896667,
      "eval_runtime": 1.1403,
      "eval_samples_per_second": 69.279,
      "eval_steps_per_second": 2.631,
      "step": 140
    },
    {
      "epoch": 40.857142857142854,
      "eval_accuracy": 0.759493670886076,
      "eval_loss": 0.7332668304443359,
      "eval_runtime": 1.1312,
      "eval_samples_per_second": 69.835,
      "eval_steps_per_second": 2.652,
      "step": 143
    },
    {
      "epoch": 42.0,
      "eval_accuracy": 0.7341772151898734,
      "eval_loss": 0.7777941226959229,
      "eval_runtime": 1.1452,
      "eval_samples_per_second": 68.983,
      "eval_steps_per_second": 2.62,
      "step": 147
    },
    {
      "epoch": 42.857142857142854,
      "grad_norm": 1.630341649055481,
      "learning_rate": 2.777777777777778e-05,
      "loss": 0.1706,
      "step": 150
    },
    {
      "epoch": 42.857142857142854,
      "eval_accuracy": 0.7721518987341772,
      "eval_loss": 0.7341672778129578,
      "eval_runtime": 1.1386,
      "eval_samples_per_second": 69.385,
      "eval_steps_per_second": 2.635,
      "step": 150
    },
    {
      "epoch": 44.0,
      "eval_accuracy": 0.7468354430379747,
      "eval_loss": 0.8143826127052307,
      "eval_runtime": 1.1491,
      "eval_samples_per_second": 68.751,
      "eval_steps_per_second": 2.611,
      "step": 154
    },
    {
      "epoch": 44.857142857142854,
      "eval_accuracy": 0.759493670886076,
      "eval_loss": 0.8299198150634766,
      "eval_runtime": 1.1355,
      "eval_samples_per_second": 69.576,
      "eval_steps_per_second": 2.642,
      "step": 157
    },
    {
      "epoch": 45.714285714285715,
      "grad_norm": 3.097490072250366,
      "learning_rate": 2.5925925925925925e-05,
      "loss": 0.1617,
      "step": 160
    },
    {
      "epoch": 46.0,
      "eval_accuracy": 0.7468354430379747,
      "eval_loss": 1.0110950469970703,
      "eval_runtime": 1.179,
      "eval_samples_per_second": 67.003,
      "eval_steps_per_second": 2.544,
      "step": 161
    },
    {
      "epoch": 46.857142857142854,
      "eval_accuracy": 0.759493670886076,
      "eval_loss": 0.8602201342582703,
      "eval_runtime": 1.1263,
      "eval_samples_per_second": 70.14,
      "eval_steps_per_second": 2.664,
      "step": 164
    },
    {
      "epoch": 48.0,
      "eval_accuracy": 0.7341772151898734,
      "eval_loss": 0.8332175016403198,
      "eval_runtime": 1.1297,
      "eval_samples_per_second": 69.928,
      "eval_steps_per_second": 2.656,
      "step": 168
    },
    {
      "epoch": 48.57142857142857,
      "grad_norm": 4.115355014801025,
      "learning_rate": 2.4074074074074074e-05,
      "loss": 0.1622,
      "step": 170
    },
    {
      "epoch": 48.857142857142854,
      "eval_accuracy": 0.7468354430379747,
      "eval_loss": 0.8297150731086731,
      "eval_runtime": 1.1338,
      "eval_samples_per_second": 69.677,
      "eval_steps_per_second": 2.646,
      "step": 171
    },
    {
      "epoch": 50.0,
      "eval_accuracy": 0.759493670886076,
      "eval_loss": 0.881697952747345,
      "eval_runtime": 1.1442,
      "eval_samples_per_second": 69.042,
      "eval_steps_per_second": 2.622,
      "step": 175
    },
    {
      "epoch": 50.857142857142854,
      "eval_accuracy": 0.759493670886076,
      "eval_loss": 0.8742266297340393,
      "eval_runtime": 1.1356,
      "eval_samples_per_second": 69.566,
      "eval_steps_per_second": 2.642,
      "step": 178
    },
    {
      "epoch": 51.42857142857143,
      "grad_norm": 2.3206353187561035,
      "learning_rate": 2.2222222222222223e-05,
      "loss": 0.1437,
      "step": 180
    },
    {
      "epoch": 52.0,
      "eval_accuracy": 0.759493670886076,
      "eval_loss": 1.0696383714675903,
      "eval_runtime": 1.1494,
      "eval_samples_per_second": 68.729,
      "eval_steps_per_second": 2.61,
      "step": 182
    },
    {
      "epoch": 52.857142857142854,
      "eval_accuracy": 0.759493670886076,
      "eval_loss": 0.9411976337432861,
      "eval_runtime": 1.1462,
      "eval_samples_per_second": 68.926,
      "eval_steps_per_second": 2.617,
      "step": 185
    },
    {
      "epoch": 54.0,
      "eval_accuracy": 0.7974683544303798,
      "eval_loss": 0.7411226630210876,
      "eval_runtime": 1.132,
      "eval_samples_per_second": 69.787,
      "eval_steps_per_second": 2.65,
      "step": 189
    },
    {
      "epoch": 54.285714285714285,
      "grad_norm": 3.764564037322998,
      "learning_rate": 2.037037037037037e-05,
      "loss": 0.1492,
      "step": 190
    },
    {
      "epoch": 54.857142857142854,
      "eval_accuracy": 0.759493670886076,
      "eval_loss": 0.9043496251106262,
      "eval_runtime": 1.1547,
      "eval_samples_per_second": 68.414,
      "eval_steps_per_second": 2.598,
      "step": 192
    },
    {
      "epoch": 56.0,
      "eval_accuracy": 0.7848101265822784,
      "eval_loss": 0.7935737371444702,
      "eval_runtime": 1.1556,
      "eval_samples_per_second": 68.362,
      "eval_steps_per_second": 2.596,
      "step": 196
    },
    {
      "epoch": 56.857142857142854,
      "eval_accuracy": 0.7721518987341772,
      "eval_loss": 0.8230910301208496,
      "eval_runtime": 1.1502,
      "eval_samples_per_second": 68.685,
      "eval_steps_per_second": 2.608,
      "step": 199
    },
    {
      "epoch": 57.142857142857146,
      "grad_norm": 2.8445208072662354,
      "learning_rate": 1.8518518518518518e-05,
      "loss": 0.1279,
      "step": 200
    },
    {
      "epoch": 58.0,
      "eval_accuracy": 0.7721518987341772,
      "eval_loss": 1.089436650276184,
      "eval_runtime": 1.168,
      "eval_samples_per_second": 67.635,
      "eval_steps_per_second": 2.568,
      "step": 203
    },
    {
      "epoch": 58.857142857142854,
      "eval_accuracy": 0.7974683544303798,
      "eval_loss": 1.007054328918457,
      "eval_runtime": 1.1442,
      "eval_samples_per_second": 69.042,
      "eval_steps_per_second": 2.622,
      "step": 206
    },
    {
      "epoch": 60.0,
      "grad_norm": 2.42126202583313,
      "learning_rate": 1.6666666666666667e-05,
      "loss": 0.1317,
      "step": 210
    },
    {
      "epoch": 60.0,
      "eval_accuracy": 0.7721518987341772,
      "eval_loss": 0.9893307089805603,
      "eval_runtime": 1.1414,
      "eval_samples_per_second": 69.214,
      "eval_steps_per_second": 2.628,
      "step": 210
    },
    {
      "epoch": 60.857142857142854,
      "eval_accuracy": 0.7468354430379747,
      "eval_loss": 1.0475964546203613,
      "eval_runtime": 1.1369,
      "eval_samples_per_second": 69.487,
      "eval_steps_per_second": 2.639,
      "step": 213
    },
    {
      "epoch": 62.0,
      "eval_accuracy": 0.7848101265822784,
      "eval_loss": 0.8080578446388245,
      "eval_runtime": 1.1418,
      "eval_samples_per_second": 69.191,
      "eval_steps_per_second": 2.628,
      "step": 217
    },
    {
      "epoch": 62.857142857142854,
      "grad_norm": 2.587399482727051,
      "learning_rate": 1.4814814814814815e-05,
      "loss": 0.1456,
      "step": 220
    },
    {
      "epoch": 62.857142857142854,
      "eval_accuracy": 0.7468354430379747,
      "eval_loss": 0.8136084079742432,
      "eval_runtime": 1.1341,
      "eval_samples_per_second": 69.657,
      "eval_steps_per_second": 2.645,
      "step": 220
    },
    {
      "epoch": 64.0,
      "eval_accuracy": 0.7848101265822784,
      "eval_loss": 0.9612722992897034,
      "eval_runtime": 1.1822,
      "eval_samples_per_second": 66.825,
      "eval_steps_per_second": 2.538,
      "step": 224
    },
    {
      "epoch": 64.85714285714286,
      "eval_accuracy": 0.7848101265822784,
      "eval_loss": 0.9783176183700562,
      "eval_runtime": 1.1425,
      "eval_samples_per_second": 69.145,
      "eval_steps_per_second": 2.626,
      "step": 227
    },
    {
      "epoch": 65.71428571428571,
      "grad_norm": 2.009462594985962,
      "learning_rate": 1.2962962962962962e-05,
      "loss": 0.119,
      "step": 230
    },
    {
      "epoch": 66.0,
      "eval_accuracy": 0.7721518987341772,
      "eval_loss": 1.0225824117660522,
      "eval_runtime": 1.1642,
      "eval_samples_per_second": 67.858,
      "eval_steps_per_second": 2.577,
      "step": 231
    },
    {
      "epoch": 66.85714285714286,
      "eval_accuracy": 0.7721518987341772,
      "eval_loss": 1.0809653997421265,
      "eval_runtime": 1.1413,
      "eval_samples_per_second": 69.221,
      "eval_steps_per_second": 2.629,
      "step": 234
    },
    {
      "epoch": 68.0,
      "eval_accuracy": 0.7974683544303798,
      "eval_loss": 0.9605960249900818,
      "eval_runtime": 1.1307,
      "eval_samples_per_second": 69.871,
      "eval_steps_per_second": 2.653,
      "step": 238
    },
    {
      "epoch": 68.57142857142857,
      "grad_norm": 2.1945383548736572,
      "learning_rate": 1.1111111111111112e-05,
      "loss": 0.1323,
      "step": 240
    },
    {
      "epoch": 68.85714285714286,
      "eval_accuracy": 0.7848101265822784,
      "eval_loss": 0.9852112531661987,
      "eval_runtime": 1.1679,
      "eval_samples_per_second": 67.643,
      "eval_steps_per_second": 2.569,
      "step": 241
    },
    {
      "epoch": 70.0,
      "eval_accuracy": 0.759493670886076,
      "eval_loss": 0.8826334476470947,
      "eval_runtime": 1.1435,
      "eval_samples_per_second": 69.086,
      "eval_steps_per_second": 2.624,
      "step": 245
    },
    {
      "epoch": 70.85714285714286,
      "eval_accuracy": 0.7468354430379747,
      "eval_loss": 0.8169065117835999,
      "eval_runtime": 1.1429,
      "eval_samples_per_second": 69.122,
      "eval_steps_per_second": 2.625,
      "step": 248
    },
    {
      "epoch": 71.42857142857143,
      "grad_norm": 4.010135650634766,
      "learning_rate": 9.259259259259259e-06,
      "loss": 0.126,
      "step": 250
    },
    {
      "epoch": 72.0,
      "eval_accuracy": 0.759493670886076,
      "eval_loss": 0.8814924359321594,
      "eval_runtime": 1.1672,
      "eval_samples_per_second": 67.681,
      "eval_steps_per_second": 2.57,
      "step": 252
    },
    {
      "epoch": 72.85714285714286,
      "eval_accuracy": 0.7721518987341772,
      "eval_loss": 0.9870919585227966,
      "eval_runtime": 1.1576,
      "eval_samples_per_second": 68.247,
      "eval_steps_per_second": 2.592,
      "step": 255
    },
    {
      "epoch": 74.0,
      "eval_accuracy": 0.7721518987341772,
      "eval_loss": 0.8927366733551025,
      "eval_runtime": 1.1442,
      "eval_samples_per_second": 69.044,
      "eval_steps_per_second": 2.622,
      "step": 259
    },
    {
      "epoch": 74.28571428571429,
      "grad_norm": 2.5069663524627686,
      "learning_rate": 7.4074074074074075e-06,
      "loss": 0.1013,
      "step": 260
    },
    {
      "epoch": 74.85714285714286,
      "eval_accuracy": 0.7468354430379747,
      "eval_loss": 0.8364698886871338,
      "eval_runtime": 1.1466,
      "eval_samples_per_second": 68.9,
      "eval_steps_per_second": 2.616,
      "step": 262
    },
    {
      "epoch": 76.0,
      "eval_accuracy": 0.7468354430379747,
      "eval_loss": 0.8423016667366028,
      "eval_runtime": 1.1449,
      "eval_samples_per_second": 69.0,
      "eval_steps_per_second": 2.62,
      "step": 266
    },
    {
      "epoch": 76.85714285714286,
      "eval_accuracy": 0.7468354430379747,
      "eval_loss": 0.8330836296081543,
      "eval_runtime": 1.1475,
      "eval_samples_per_second": 68.845,
      "eval_steps_per_second": 2.614,
      "step": 269
    },
    {
      "epoch": 77.14285714285714,
      "grad_norm": 2.3882863521575928,
      "learning_rate": 5.555555555555556e-06,
      "loss": 0.1142,
      "step": 270
    },
    {
      "epoch": 78.0,
      "eval_accuracy": 0.7721518987341772,
      "eval_loss": 0.8203690052032471,
      "eval_runtime": 1.1426,
      "eval_samples_per_second": 69.14,
      "eval_steps_per_second": 2.626,
      "step": 273
    },
    {
      "epoch": 78.85714285714286,
      "eval_accuracy": 0.7721518987341772,
      "eval_loss": 0.8286263942718506,
      "eval_runtime": 1.1509,
      "eval_samples_per_second": 68.642,
      "eval_steps_per_second": 2.607,
      "step": 276
    },
    {
      "epoch": 80.0,
      "grad_norm": 2.164783239364624,
      "learning_rate": 3.7037037037037037e-06,
      "loss": 0.1287,
      "step": 280
    },
    {
      "epoch": 80.0,
      "eval_accuracy": 0.7721518987341772,
      "eval_loss": 0.8701770901679993,
      "eval_runtime": 1.1544,
      "eval_samples_per_second": 68.434,
      "eval_steps_per_second": 2.599,
      "step": 280
    },
    {
      "epoch": 80.85714285714286,
      "eval_accuracy": 0.7721518987341772,
      "eval_loss": 0.9069644808769226,
      "eval_runtime": 1.1505,
      "eval_samples_per_second": 68.667,
      "eval_steps_per_second": 2.608,
      "step": 283
    },
    {
      "epoch": 82.0,
      "eval_accuracy": 0.7721518987341772,
      "eval_loss": 0.9024941921234131,
      "eval_runtime": 1.1478,
      "eval_samples_per_second": 68.826,
      "eval_steps_per_second": 2.614,
      "step": 287
    },
    {
      "epoch": 82.85714285714286,
      "grad_norm": 3.1293911933898926,
      "learning_rate": 1.8518518518518519e-06,
      "loss": 0.099,
      "step": 290
    },
    {
      "epoch": 82.85714285714286,
      "eval_accuracy": 0.7721518987341772,
      "eval_loss": 0.8805702328681946,
      "eval_runtime": 1.1532,
      "eval_samples_per_second": 68.506,
      "eval_steps_per_second": 2.602,
      "step": 290
    },
    {
      "epoch": 84.0,
      "eval_accuracy": 0.759493670886076,
      "eval_loss": 0.8637142777442932,
      "eval_runtime": 1.1416,
      "eval_samples_per_second": 69.202,
      "eval_steps_per_second": 2.628,
      "step": 294
    },
    {
      "epoch": 84.85714285714286,
      "eval_accuracy": 0.759493670886076,
      "eval_loss": 0.8577674031257629,
      "eval_runtime": 1.1432,
      "eval_samples_per_second": 69.103,
      "eval_steps_per_second": 2.624,
      "step": 297
    },
    {
      "epoch": 85.71428571428571,
      "grad_norm": 2.0774335861206055,
      "learning_rate": 0.0,
      "loss": 0.1141,
      "step": 300
    },
    {
      "epoch": 85.71428571428571,
      "eval_accuracy": 0.7468354430379747,
      "eval_loss": 0.855110764503479,
      "eval_runtime": 1.1385,
      "eval_samples_per_second": 69.39,
      "eval_steps_per_second": 2.635,
      "step": 300
    },
    {
      "epoch": 85.71428571428571,
      "step": 300,
      "total_flos": 2.9362240500074496e+18,
      "train_loss": 0.24900371452172598,
      "train_runtime": 1679.7368,
      "train_samples_per_second": 26.314,
      "train_steps_per_second": 0.179
    },
    {
      "epoch": 85.71428571428571,
      "eval_accuracy": 0.810126582278481,
      "eval_loss": 0.5842322111129761,
      "eval_runtime": 1.1419,
      "eval_samples_per_second": 69.185,
      "eval_steps_per_second": 2.627,
      "step": 300
    }
  ],
  "logging_steps": 10,
  "max_steps": 300,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 100,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 2.9362240500074496e+18,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}