{
  "best_metric": 0.6111111111111112,
  "best_model_checkpoint": "beit-base-patch16-224-hasta-55-fold5/checkpoint-66",
  "epoch": 57.142857142857146,
  "eval_steps": 500,
  "global_step": 100,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.5714285714285714,
      "eval_accuracy": 0.3055555555555556,
      "eval_loss": 1.224039912223816,
      "eval_runtime": 0.4999,
      "eval_samples_per_second": 72.015,
      "eval_steps_per_second": 4.001,
      "step": 1
    },
    {
      "epoch": 1.7142857142857144,
      "eval_accuracy": 0.3055555555555556,
      "eval_loss": 1.2263083457946777,
      "eval_runtime": 0.5056,
      "eval_samples_per_second": 71.208,
      "eval_steps_per_second": 3.956,
      "step": 3
    },
    {
      "epoch": 2.857142857142857,
      "eval_accuracy": 0.3888888888888889,
      "eval_loss": 1.222222924232483,
      "eval_runtime": 0.4995,
      "eval_samples_per_second": 72.078,
      "eval_steps_per_second": 4.004,
      "step": 5
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.3888888888888889,
      "eval_loss": 1.1690114736557007,
      "eval_runtime": 0.5114,
      "eval_samples_per_second": 70.4,
      "eval_steps_per_second": 3.911,
      "step": 7
    },
    {
      "epoch": 4.571428571428571,
      "eval_accuracy": 0.3888888888888889,
      "eval_loss": 1.1690934896469116,
      "eval_runtime": 0.5013,
      "eval_samples_per_second": 71.81,
      "eval_steps_per_second": 3.989,
      "step": 8
    },
    {
      "epoch": 5.714285714285714,
      "grad_norm": 14.338200569152832,
      "learning_rate": 5e-05,
      "loss": 1.1249,
      "step": 10
    },
    {
      "epoch": 5.714285714285714,
      "eval_accuracy": 0.3888888888888889,
      "eval_loss": 1.0998698472976685,
      "eval_runtime": 0.5067,
      "eval_samples_per_second": 71.041,
      "eval_steps_per_second": 3.947,
      "step": 10
    },
    {
      "epoch": 6.857142857142857,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.160466194152832,
      "eval_runtime": 0.5043,
      "eval_samples_per_second": 71.382,
      "eval_steps_per_second": 3.966,
      "step": 12
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.191159725189209,
      "eval_runtime": 0.5042,
      "eval_samples_per_second": 71.4,
      "eval_steps_per_second": 3.967,
      "step": 14
    },
    {
      "epoch": 8.571428571428571,
      "eval_accuracy": 0.3888888888888889,
      "eval_loss": 1.1770739555358887,
      "eval_runtime": 0.5018,
      "eval_samples_per_second": 71.738,
      "eval_steps_per_second": 3.985,
      "step": 15
    },
    {
      "epoch": 9.714285714285714,
      "eval_accuracy": 0.4722222222222222,
      "eval_loss": 1.2369838953018188,
      "eval_runtime": 0.5155,
      "eval_samples_per_second": 69.832,
      "eval_steps_per_second": 3.88,
      "step": 17
    },
    {
      "epoch": 10.857142857142858,
      "eval_accuracy": 0.5,
      "eval_loss": 1.2607200145721436,
      "eval_runtime": 0.5092,
      "eval_samples_per_second": 70.697,
      "eval_steps_per_second": 3.928,
      "step": 19
    },
    {
      "epoch": 11.428571428571429,
      "grad_norm": 11.004097938537598,
      "learning_rate": 4.4444444444444447e-05,
      "loss": 0.9274,
      "step": 20
    },
    {
      "epoch": 12.0,
      "eval_accuracy": 0.4722222222222222,
      "eval_loss": 1.2755682468414307,
      "eval_runtime": 0.5154,
      "eval_samples_per_second": 69.842,
      "eval_steps_per_second": 3.88,
      "step": 21
    },
    {
      "epoch": 12.571428571428571,
      "eval_accuracy": 0.4722222222222222,
      "eval_loss": 1.2208017110824585,
      "eval_runtime": 0.5003,
      "eval_samples_per_second": 71.961,
      "eval_steps_per_second": 3.998,
      "step": 22
    },
    {
      "epoch": 13.714285714285714,
      "eval_accuracy": 0.5,
      "eval_loss": 1.3705171346664429,
      "eval_runtime": 0.516,
      "eval_samples_per_second": 69.762,
      "eval_steps_per_second": 3.876,
      "step": 24
    },
    {
      "epoch": 14.857142857142858,
      "eval_accuracy": 0.5277777777777778,
      "eval_loss": 1.21907377243042,
      "eval_runtime": 0.4969,
      "eval_samples_per_second": 72.448,
      "eval_steps_per_second": 4.025,
      "step": 26
    },
    {
      "epoch": 16.0,
      "eval_accuracy": 0.5277777777777778,
      "eval_loss": 1.3502026796340942,
      "eval_runtime": 0.5251,
      "eval_samples_per_second": 68.554,
      "eval_steps_per_second": 3.809,
      "step": 28
    },
    {
      "epoch": 16.571428571428573,
      "eval_accuracy": 0.5277777777777778,
      "eval_loss": 1.262834072113037,
      "eval_runtime": 0.511,
      "eval_samples_per_second": 70.447,
      "eval_steps_per_second": 3.914,
      "step": 29
    },
    {
      "epoch": 17.142857142857142,
      "grad_norm": 8.800963401794434,
      "learning_rate": 3.888888888888889e-05,
      "loss": 0.7889,
      "step": 30
    },
    {
      "epoch": 17.714285714285715,
      "eval_accuracy": 0.5,
      "eval_loss": 1.0868184566497803,
      "eval_runtime": 0.5072,
      "eval_samples_per_second": 70.984,
      "eval_steps_per_second": 3.944,
      "step": 31
    },
    {
      "epoch": 18.857142857142858,
      "eval_accuracy": 0.5,
      "eval_loss": 1.3982720375061035,
      "eval_runtime": 0.5038,
      "eval_samples_per_second": 71.454,
      "eval_steps_per_second": 3.97,
      "step": 33
    },
    {
      "epoch": 20.0,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 1.2536911964416504,
      "eval_runtime": 0.5123,
      "eval_samples_per_second": 70.278,
      "eval_steps_per_second": 3.904,
      "step": 35
    },
    {
      "epoch": 20.571428571428573,
      "eval_accuracy": 0.4722222222222222,
      "eval_loss": 1.153983473777771,
      "eval_runtime": 0.5038,
      "eval_samples_per_second": 71.464,
      "eval_steps_per_second": 3.97,
      "step": 36
    },
    {
      "epoch": 21.714285714285715,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 1.2135456800460815,
      "eval_runtime": 0.5134,
      "eval_samples_per_second": 70.118,
      "eval_steps_per_second": 3.895,
      "step": 38
    },
    {
      "epoch": 22.857142857142858,
      "grad_norm": 14.012792587280273,
      "learning_rate": 3.3333333333333335e-05,
      "loss": 0.7027,
      "step": 40
    },
    {
      "epoch": 22.857142857142858,
      "eval_accuracy": 0.5,
      "eval_loss": 1.4271180629730225,
      "eval_runtime": 0.514,
      "eval_samples_per_second": 70.044,
      "eval_steps_per_second": 3.891,
      "step": 40
    },
    {
      "epoch": 24.0,
      "eval_accuracy": 0.5,
      "eval_loss": 1.1827939748764038,
      "eval_runtime": 0.4998,
      "eval_samples_per_second": 72.026,
      "eval_steps_per_second": 4.001,
      "step": 42
    },
    {
      "epoch": 24.571428571428573,
      "eval_accuracy": 0.4444444444444444,
      "eval_loss": 1.2125780582427979,
      "eval_runtime": 0.504,
      "eval_samples_per_second": 71.427,
      "eval_steps_per_second": 3.968,
      "step": 43
    },
    {
      "epoch": 25.714285714285715,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 1.4979578256607056,
      "eval_runtime": 0.4967,
      "eval_samples_per_second": 72.472,
      "eval_steps_per_second": 4.026,
      "step": 45
    },
    {
      "epoch": 26.857142857142858,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 1.3495233058929443,
      "eval_runtime": 0.5247,
      "eval_samples_per_second": 68.612,
      "eval_steps_per_second": 3.812,
      "step": 47
    },
    {
      "epoch": 28.0,
      "eval_accuracy": 0.5277777777777778,
      "eval_loss": 1.1969157457351685,
      "eval_runtime": 0.5085,
      "eval_samples_per_second": 70.796,
      "eval_steps_per_second": 3.933,
      "step": 49
    },
    {
      "epoch": 28.571428571428573,
      "grad_norm": 8.97653865814209,
      "learning_rate": 2.777777777777778e-05,
      "loss": 0.6037,
      "step": 50
    },
    {
      "epoch": 28.571428571428573,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 1.206262230873108,
      "eval_runtime": 0.5003,
      "eval_samples_per_second": 71.953,
      "eval_steps_per_second": 3.997,
      "step": 50
    },
    {
      "epoch": 29.714285714285715,
      "eval_accuracy": 0.5833333333333334,
      "eval_loss": 1.311498761177063,
      "eval_runtime": 0.5037,
      "eval_samples_per_second": 71.469,
      "eval_steps_per_second": 3.97,
      "step": 52
    },
    {
      "epoch": 30.857142857142858,
      "eval_accuracy": 0.5277777777777778,
      "eval_loss": 1.172597050666809,
      "eval_runtime": 0.5127,
      "eval_samples_per_second": 70.221,
      "eval_steps_per_second": 3.901,
      "step": 54
    },
    {
      "epoch": 32.0,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 1.1872016191482544,
      "eval_runtime": 0.504,
      "eval_samples_per_second": 71.425,
      "eval_steps_per_second": 3.968,
      "step": 56
    },
    {
      "epoch": 32.57142857142857,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 1.2399052381515503,
      "eval_runtime": 0.5208,
      "eval_samples_per_second": 69.118,
      "eval_steps_per_second": 3.84,
      "step": 57
    },
    {
      "epoch": 33.714285714285715,
      "eval_accuracy": 0.5277777777777778,
      "eval_loss": 1.256636142730713,
      "eval_runtime": 0.505,
      "eval_samples_per_second": 71.294,
      "eval_steps_per_second": 3.961,
      "step": 59
    },
    {
      "epoch": 34.285714285714285,
      "grad_norm": 7.767446517944336,
      "learning_rate": 2.2222222222222223e-05,
      "loss": 0.5147,
      "step": 60
    },
    {
      "epoch": 34.857142857142854,
      "eval_accuracy": 0.5277777777777778,
      "eval_loss": 1.1848201751708984,
      "eval_runtime": 0.5003,
      "eval_samples_per_second": 71.953,
      "eval_steps_per_second": 3.997,
      "step": 61
    },
    {
      "epoch": 36.0,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 1.2614126205444336,
      "eval_runtime": 0.5014,
      "eval_samples_per_second": 71.793,
      "eval_steps_per_second": 3.989,
      "step": 63
    },
    {
      "epoch": 36.57142857142857,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 1.3974634408950806,
      "eval_runtime": 0.5092,
      "eval_samples_per_second": 70.692,
      "eval_steps_per_second": 3.927,
      "step": 64
    },
    {
      "epoch": 37.714285714285715,
      "eval_accuracy": 0.6111111111111112,
      "eval_loss": 1.4708439111709595,
      "eval_runtime": 0.5108,
      "eval_samples_per_second": 70.483,
      "eval_steps_per_second": 3.916,
      "step": 66
    },
    {
      "epoch": 38.857142857142854,
      "eval_accuracy": 0.5833333333333334,
      "eval_loss": 1.3232808113098145,
      "eval_runtime": 0.5032,
      "eval_samples_per_second": 71.537,
      "eval_steps_per_second": 3.974,
      "step": 68
    },
    {
      "epoch": 40.0,
      "grad_norm": 11.204297065734863,
      "learning_rate": 1.6666666666666667e-05,
      "loss": 0.4004,
      "step": 70
    },
    {
      "epoch": 40.0,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 1.2993547916412354,
      "eval_runtime": 0.5005,
      "eval_samples_per_second": 71.925,
      "eval_steps_per_second": 3.996,
      "step": 70
    },
    {
      "epoch": 40.57142857142857,
      "eval_accuracy": 0.5277777777777778,
      "eval_loss": 1.3582478761672974,
      "eval_runtime": 0.5037,
      "eval_samples_per_second": 71.476,
      "eval_steps_per_second": 3.971,
      "step": 71
    },
    {
      "epoch": 41.714285714285715,
      "eval_accuracy": 0.5277777777777778,
      "eval_loss": 1.357726812362671,
      "eval_runtime": 0.4964,
      "eval_samples_per_second": 72.523,
      "eval_steps_per_second": 4.029,
      "step": 73
    },
    {
      "epoch": 42.857142857142854,
      "eval_accuracy": 0.5833333333333334,
      "eval_loss": 1.1984590291976929,
      "eval_runtime": 0.5023,
      "eval_samples_per_second": 71.675,
      "eval_steps_per_second": 3.982,
      "step": 75
    },
    {
      "epoch": 44.0,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 1.1447665691375732,
      "eval_runtime": 0.532,
      "eval_samples_per_second": 67.67,
      "eval_steps_per_second": 3.759,
      "step": 77
    },
    {
      "epoch": 44.57142857142857,
      "eval_accuracy": 0.6111111111111112,
      "eval_loss": 1.1713652610778809,
      "eval_runtime": 0.535,
      "eval_samples_per_second": 67.284,
      "eval_steps_per_second": 3.738,
      "step": 78
    },
    {
      "epoch": 45.714285714285715,
      "grad_norm": 7.631770610809326,
      "learning_rate": 1.1111111111111112e-05,
      "loss": 0.4323,
      "step": 80
    },
    {
      "epoch": 45.714285714285715,
      "eval_accuracy": 0.6111111111111112,
      "eval_loss": 1.3706693649291992,
      "eval_runtime": 0.5033,
      "eval_samples_per_second": 71.523,
      "eval_steps_per_second": 3.974,
      "step": 80
    },
    {
      "epoch": 46.857142857142854,
      "eval_accuracy": 0.5833333333333334,
      "eval_loss": 1.5476651191711426,
      "eval_runtime": 0.5152,
      "eval_samples_per_second": 69.869,
      "eval_steps_per_second": 3.882,
      "step": 82
    },
    {
      "epoch": 48.0,
      "eval_accuracy": 0.5833333333333334,
      "eval_loss": 1.4254441261291504,
      "eval_runtime": 0.5068,
      "eval_samples_per_second": 71.031,
      "eval_steps_per_second": 3.946,
      "step": 84
    },
    {
      "epoch": 48.57142857142857,
      "eval_accuracy": 0.5833333333333334,
      "eval_loss": 1.3030650615692139,
      "eval_runtime": 0.5417,
      "eval_samples_per_second": 66.453,
      "eval_steps_per_second": 3.692,
      "step": 85
    },
    {
      "epoch": 49.714285714285715,
      "eval_accuracy": 0.6111111111111112,
      "eval_loss": 1.184296727180481,
      "eval_runtime": 0.5126,
      "eval_samples_per_second": 70.226,
      "eval_steps_per_second": 3.901,
      "step": 87
    },
    {
      "epoch": 50.857142857142854,
      "eval_accuracy": 0.6111111111111112,
      "eval_loss": 1.183534026145935,
      "eval_runtime": 0.5116,
      "eval_samples_per_second": 70.369,
      "eval_steps_per_second": 3.909,
      "step": 89
    },
    {
      "epoch": 51.42857142857143,
      "grad_norm": 13.801889419555664,
      "learning_rate": 5.555555555555556e-06,
      "loss": 0.3568,
      "step": 90
    },
    {
      "epoch": 52.0,
      "eval_accuracy": 0.6111111111111112,
      "eval_loss": 1.239859700202942,
      "eval_runtime": 0.5067,
      "eval_samples_per_second": 71.052,
      "eval_steps_per_second": 3.947,
      "step": 91
    },
    {
      "epoch": 52.57142857142857,
      "eval_accuracy": 0.6111111111111112,
      "eval_loss": 1.2605737447738647,
      "eval_runtime": 0.5239,
      "eval_samples_per_second": 68.721,
      "eval_steps_per_second": 3.818,
      "step": 92
    },
    {
      "epoch": 53.714285714285715,
      "eval_accuracy": 0.5833333333333334,
      "eval_loss": 1.2996666431427002,
      "eval_runtime": 0.5241,
      "eval_samples_per_second": 68.683,
      "eval_steps_per_second": 3.816,
      "step": 94
    },
    {
      "epoch": 54.857142857142854,
      "eval_accuracy": 0.5833333333333334,
      "eval_loss": 1.3183656930923462,
      "eval_runtime": 0.5059,
      "eval_samples_per_second": 71.165,
      "eval_steps_per_second": 3.954,
      "step": 96
    },
    {
      "epoch": 56.0,
      "eval_accuracy": 0.5833333333333334,
      "eval_loss": 1.329425573348999,
      "eval_runtime": 0.5234,
      "eval_samples_per_second": 68.778,
      "eval_steps_per_second": 3.821,
      "step": 98
    },
    {
      "epoch": 56.57142857142857,
      "eval_accuracy": 0.5833333333333334,
      "eval_loss": 1.333736777305603,
      "eval_runtime": 0.5056,
      "eval_samples_per_second": 71.206,
      "eval_steps_per_second": 3.956,
      "step": 99
    },
    {
      "epoch": 57.142857142857146,
      "grad_norm": 10.05569839477539,
      "learning_rate": 0.0,
      "loss": 0.3308,
      "step": 100
    },
    {
      "epoch": 57.142857142857146,
      "eval_accuracy": 0.5833333333333334,
      "eval_loss": 1.3367365598678589,
      "eval_runtime": 0.5052,
      "eval_samples_per_second": 71.264,
      "eval_steps_per_second": 3.959,
      "step": 100
    },
    {
      "epoch": 57.142857142857146,
      "step": 100,
      "total_flos": 8.766873360020644e+17,
      "train_loss": 0.6182592821121216,
      "train_runtime": 548.4283,
      "train_samples_per_second": 36.103,
      "train_steps_per_second": 0.182
    },
    {
      "epoch": 57.142857142857146,
      "eval_accuracy": 0.6111111111111112,
      "eval_loss": 1.4708439111709595,
      "eval_runtime": 0.5792,
      "eval_samples_per_second": 62.159,
      "eval_steps_per_second": 3.453,
      "step": 100
    }
  ],
  "logging_steps": 10,
  "max_steps": 100,
  "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": 8.766873360020644e+17,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}