{
  "best_metric": 0.5555555555555556,
  "best_model_checkpoint": "deit-base-distilled-patch16-224-hasta-65-fold5/checkpoint-59",
  "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": 0.3888888888888889,
      "eval_loss": 1.1751261949539185,
      "eval_runtime": 0.4879,
      "eval_samples_per_second": 73.787,
      "eval_steps_per_second": 4.099,
      "step": 1
    },
    {
      "epoch": 1.7142857142857144,
      "eval_accuracy": 0.4722222222222222,
      "eval_loss": 1.0340763330459595,
      "eval_runtime": 0.489,
      "eval_samples_per_second": 73.621,
      "eval_steps_per_second": 4.09,
      "step": 3
    },
    {
      "epoch": 2.857142857142857,
      "eval_accuracy": 0.2777777777777778,
      "eval_loss": 1.3058849573135376,
      "eval_runtime": 0.5086,
      "eval_samples_per_second": 70.788,
      "eval_steps_per_second": 3.933,
      "step": 5
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.2777777777777778,
      "eval_loss": 1.3255195617675781,
      "eval_runtime": 0.5171,
      "eval_samples_per_second": 69.615,
      "eval_steps_per_second": 3.868,
      "step": 7
    },
    {
      "epoch": 4.571428571428571,
      "eval_accuracy": 0.2777777777777778,
      "eval_loss": 1.1834439039230347,
      "eval_runtime": 0.4928,
      "eval_samples_per_second": 73.049,
      "eval_steps_per_second": 4.058,
      "step": 8
    },
    {
      "epoch": 5.714285714285714,
      "grad_norm": 2.6557154655456543,
      "learning_rate": 5e-05,
      "loss": 1.1839,
      "step": 10
    },
    {
      "epoch": 5.714285714285714,
      "eval_accuracy": 0.5277777777777778,
      "eval_loss": 1.0356624126434326,
      "eval_runtime": 0.4894,
      "eval_samples_per_second": 73.563,
      "eval_steps_per_second": 4.087,
      "step": 10
    },
    {
      "epoch": 6.857142857142857,
      "eval_accuracy": 0.3888888888888889,
      "eval_loss": 1.060836672782898,
      "eval_runtime": 0.4874,
      "eval_samples_per_second": 73.855,
      "eval_steps_per_second": 4.103,
      "step": 12
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.3333333333333333,
      "eval_loss": 1.2059739828109741,
      "eval_runtime": 0.4931,
      "eval_samples_per_second": 73.015,
      "eval_steps_per_second": 4.056,
      "step": 14
    },
    {
      "epoch": 8.571428571428571,
      "eval_accuracy": 0.3888888888888889,
      "eval_loss": 1.1938085556030273,
      "eval_runtime": 0.4908,
      "eval_samples_per_second": 73.347,
      "eval_steps_per_second": 4.075,
      "step": 15
    },
    {
      "epoch": 9.714285714285714,
      "eval_accuracy": 0.5,
      "eval_loss": 1.082518219947815,
      "eval_runtime": 0.4851,
      "eval_samples_per_second": 74.208,
      "eval_steps_per_second": 4.123,
      "step": 17
    },
    {
      "epoch": 10.857142857142858,
      "eval_accuracy": 0.3888888888888889,
      "eval_loss": 1.148760199546814,
      "eval_runtime": 0.4962,
      "eval_samples_per_second": 72.544,
      "eval_steps_per_second": 4.03,
      "step": 19
    },
    {
      "epoch": 11.428571428571429,
      "grad_norm": 3.6616809368133545,
      "learning_rate": 4.4444444444444447e-05,
      "loss": 0.9707,
      "step": 20
    },
    {
      "epoch": 12.0,
      "eval_accuracy": 0.3888888888888889,
      "eval_loss": 1.1268404722213745,
      "eval_runtime": 0.4917,
      "eval_samples_per_second": 73.22,
      "eval_steps_per_second": 4.068,
      "step": 21
    },
    {
      "epoch": 12.571428571428571,
      "eval_accuracy": 0.5,
      "eval_loss": 1.0563452243804932,
      "eval_runtime": 0.4999,
      "eval_samples_per_second": 72.018,
      "eval_steps_per_second": 4.001,
      "step": 22
    },
    {
      "epoch": 13.714285714285714,
      "eval_accuracy": 0.5277777777777778,
      "eval_loss": 1.0570094585418701,
      "eval_runtime": 0.4934,
      "eval_samples_per_second": 72.957,
      "eval_steps_per_second": 4.053,
      "step": 24
    },
    {
      "epoch": 14.857142857142858,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.1166433095932007,
      "eval_runtime": 0.4883,
      "eval_samples_per_second": 73.728,
      "eval_steps_per_second": 4.096,
      "step": 26
    },
    {
      "epoch": 16.0,
      "eval_accuracy": 0.4444444444444444,
      "eval_loss": 1.0609068870544434,
      "eval_runtime": 0.4936,
      "eval_samples_per_second": 72.941,
      "eval_steps_per_second": 4.052,
      "step": 28
    },
    {
      "epoch": 16.571428571428573,
      "eval_accuracy": 0.4722222222222222,
      "eval_loss": 1.0378516912460327,
      "eval_runtime": 0.4863,
      "eval_samples_per_second": 74.034,
      "eval_steps_per_second": 4.113,
      "step": 29
    },
    {
      "epoch": 17.142857142857142,
      "grad_norm": 4.919348239898682,
      "learning_rate": 3.888888888888889e-05,
      "loss": 0.8668,
      "step": 30
    },
    {
      "epoch": 17.714285714285715,
      "eval_accuracy": 0.4444444444444444,
      "eval_loss": 1.0610023736953735,
      "eval_runtime": 0.4887,
      "eval_samples_per_second": 73.661,
      "eval_steps_per_second": 4.092,
      "step": 31
    },
    {
      "epoch": 18.857142857142858,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.1810537576675415,
      "eval_runtime": 0.4883,
      "eval_samples_per_second": 73.727,
      "eval_steps_per_second": 4.096,
      "step": 33
    },
    {
      "epoch": 20.0,
      "eval_accuracy": 0.4444444444444444,
      "eval_loss": 1.102830410003662,
      "eval_runtime": 0.5057,
      "eval_samples_per_second": 71.192,
      "eval_steps_per_second": 3.955,
      "step": 35
    },
    {
      "epoch": 20.571428571428573,
      "eval_accuracy": 0.4444444444444444,
      "eval_loss": 1.0949718952178955,
      "eval_runtime": 0.4917,
      "eval_samples_per_second": 73.219,
      "eval_steps_per_second": 4.068,
      "step": 36
    },
    {
      "epoch": 21.714285714285715,
      "eval_accuracy": 0.4722222222222222,
      "eval_loss": 1.1424427032470703,
      "eval_runtime": 0.4936,
      "eval_samples_per_second": 72.934,
      "eval_steps_per_second": 4.052,
      "step": 38
    },
    {
      "epoch": 22.857142857142858,
      "grad_norm": 6.751219272613525,
      "learning_rate": 3.3333333333333335e-05,
      "loss": 0.6889,
      "step": 40
    },
    {
      "epoch": 22.857142857142858,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.3027087450027466,
      "eval_runtime": 0.489,
      "eval_samples_per_second": 73.623,
      "eval_steps_per_second": 4.09,
      "step": 40
    },
    {
      "epoch": 24.0,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.2030115127563477,
      "eval_runtime": 0.4898,
      "eval_samples_per_second": 73.499,
      "eval_steps_per_second": 4.083,
      "step": 42
    },
    {
      "epoch": 24.571428571428573,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.2148040533065796,
      "eval_runtime": 0.5046,
      "eval_samples_per_second": 71.339,
      "eval_steps_per_second": 3.963,
      "step": 43
    },
    {
      "epoch": 25.714285714285715,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.3066232204437256,
      "eval_runtime": 0.4837,
      "eval_samples_per_second": 74.426,
      "eval_steps_per_second": 4.135,
      "step": 45
    },
    {
      "epoch": 26.857142857142858,
      "eval_accuracy": 0.3611111111111111,
      "eval_loss": 1.388055443763733,
      "eval_runtime": 0.4929,
      "eval_samples_per_second": 73.037,
      "eval_steps_per_second": 4.058,
      "step": 47
    },
    {
      "epoch": 28.0,
      "eval_accuracy": 0.4444444444444444,
      "eval_loss": 1.2565866708755493,
      "eval_runtime": 0.4954,
      "eval_samples_per_second": 72.666,
      "eval_steps_per_second": 4.037,
      "step": 49
    },
    {
      "epoch": 28.571428571428573,
      "grad_norm": 4.931034564971924,
      "learning_rate": 2.777777777777778e-05,
      "loss": 0.576,
      "step": 50
    },
    {
      "epoch": 28.571428571428573,
      "eval_accuracy": 0.4444444444444444,
      "eval_loss": 1.1890705823898315,
      "eval_runtime": 0.485,
      "eval_samples_per_second": 74.228,
      "eval_steps_per_second": 4.124,
      "step": 50
    },
    {
      "epoch": 29.714285714285715,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.163759708404541,
      "eval_runtime": 0.4917,
      "eval_samples_per_second": 73.21,
      "eval_steps_per_second": 4.067,
      "step": 52
    },
    {
      "epoch": 30.857142857142858,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.253006935119629,
      "eval_runtime": 0.4917,
      "eval_samples_per_second": 73.209,
      "eval_steps_per_second": 4.067,
      "step": 54
    },
    {
      "epoch": 32.0,
      "eval_accuracy": 0.5,
      "eval_loss": 1.13831627368927,
      "eval_runtime": 0.4952,
      "eval_samples_per_second": 72.692,
      "eval_steps_per_second": 4.038,
      "step": 56
    },
    {
      "epoch": 32.57142857142857,
      "eval_accuracy": 0.5,
      "eval_loss": 1.0968199968338013,
      "eval_runtime": 0.4993,
      "eval_samples_per_second": 72.096,
      "eval_steps_per_second": 4.005,
      "step": 57
    },
    {
      "epoch": 33.714285714285715,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 1.0162580013275146,
      "eval_runtime": 0.4924,
      "eval_samples_per_second": 73.107,
      "eval_steps_per_second": 4.061,
      "step": 59
    },
    {
      "epoch": 34.285714285714285,
      "grad_norm": 6.734873294830322,
      "learning_rate": 2.2222222222222223e-05,
      "loss": 0.4773,
      "step": 60
    },
    {
      "epoch": 34.857142857142854,
      "eval_accuracy": 0.5,
      "eval_loss": 1.1107090711593628,
      "eval_runtime": 0.4902,
      "eval_samples_per_second": 73.44,
      "eval_steps_per_second": 4.08,
      "step": 61
    },
    {
      "epoch": 36.0,
      "eval_accuracy": 0.5,
      "eval_loss": 1.1340625286102295,
      "eval_runtime": 0.4891,
      "eval_samples_per_second": 73.602,
      "eval_steps_per_second": 4.089,
      "step": 63
    },
    {
      "epoch": 36.57142857142857,
      "eval_accuracy": 0.5277777777777778,
      "eval_loss": 1.1151530742645264,
      "eval_runtime": 0.4831,
      "eval_samples_per_second": 74.516,
      "eval_steps_per_second": 4.14,
      "step": 64
    },
    {
      "epoch": 37.714285714285715,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 1.115782380104065,
      "eval_runtime": 0.5062,
      "eval_samples_per_second": 71.115,
      "eval_steps_per_second": 3.951,
      "step": 66
    },
    {
      "epoch": 38.857142857142854,
      "eval_accuracy": 0.4722222222222222,
      "eval_loss": 1.1627553701400757,
      "eval_runtime": 0.4965,
      "eval_samples_per_second": 72.512,
      "eval_steps_per_second": 4.028,
      "step": 68
    },
    {
      "epoch": 40.0,
      "grad_norm": 4.625010967254639,
      "learning_rate": 1.6666666666666667e-05,
      "loss": 0.4186,
      "step": 70
    },
    {
      "epoch": 40.0,
      "eval_accuracy": 0.4444444444444444,
      "eval_loss": 1.2304986715316772,
      "eval_runtime": 0.5035,
      "eval_samples_per_second": 71.502,
      "eval_steps_per_second": 3.972,
      "step": 70
    },
    {
      "epoch": 40.57142857142857,
      "eval_accuracy": 0.4722222222222222,
      "eval_loss": 1.2181116342544556,
      "eval_runtime": 0.4887,
      "eval_samples_per_second": 73.665,
      "eval_steps_per_second": 4.093,
      "step": 71
    },
    {
      "epoch": 41.714285714285715,
      "eval_accuracy": 0.5,
      "eval_loss": 1.216411828994751,
      "eval_runtime": 0.4978,
      "eval_samples_per_second": 72.325,
      "eval_steps_per_second": 4.018,
      "step": 73
    },
    {
      "epoch": 42.857142857142854,
      "eval_accuracy": 0.5,
      "eval_loss": 1.2224550247192383,
      "eval_runtime": 0.5007,
      "eval_samples_per_second": 71.898,
      "eval_steps_per_second": 3.994,
      "step": 75
    },
    {
      "epoch": 44.0,
      "eval_accuracy": 0.5,
      "eval_loss": 1.2297773361206055,
      "eval_runtime": 0.492,
      "eval_samples_per_second": 73.173,
      "eval_steps_per_second": 4.065,
      "step": 77
    },
    {
      "epoch": 44.57142857142857,
      "eval_accuracy": 0.4722222222222222,
      "eval_loss": 1.2651033401489258,
      "eval_runtime": 0.4869,
      "eval_samples_per_second": 73.937,
      "eval_steps_per_second": 4.108,
      "step": 78
    },
    {
      "epoch": 45.714285714285715,
      "grad_norm": 4.358370304107666,
      "learning_rate": 1.1111111111111112e-05,
      "loss": 0.3318,
      "step": 80
    },
    {
      "epoch": 45.714285714285715,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.3628058433532715,
      "eval_runtime": 0.4972,
      "eval_samples_per_second": 72.408,
      "eval_steps_per_second": 4.023,
      "step": 80
    },
    {
      "epoch": 46.857142857142854,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.3817496299743652,
      "eval_runtime": 0.5101,
      "eval_samples_per_second": 70.572,
      "eval_steps_per_second": 3.921,
      "step": 82
    },
    {
      "epoch": 48.0,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.359439492225647,
      "eval_runtime": 0.5012,
      "eval_samples_per_second": 71.825,
      "eval_steps_per_second": 3.99,
      "step": 84
    },
    {
      "epoch": 48.57142857142857,
      "eval_accuracy": 0.4444444444444444,
      "eval_loss": 1.355283260345459,
      "eval_runtime": 0.4956,
      "eval_samples_per_second": 72.644,
      "eval_steps_per_second": 4.036,
      "step": 85
    },
    {
      "epoch": 49.714285714285715,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.3547987937927246,
      "eval_runtime": 0.4823,
      "eval_samples_per_second": 74.639,
      "eval_steps_per_second": 4.147,
      "step": 87
    },
    {
      "epoch": 50.857142857142854,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.4113057851791382,
      "eval_runtime": 0.4928,
      "eval_samples_per_second": 73.049,
      "eval_steps_per_second": 4.058,
      "step": 89
    },
    {
      "epoch": 51.42857142857143,
      "grad_norm": 5.402642726898193,
      "learning_rate": 5.555555555555556e-06,
      "loss": 0.344,
      "step": 90
    },
    {
      "epoch": 52.0,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.4433233737945557,
      "eval_runtime": 0.4954,
      "eval_samples_per_second": 72.67,
      "eval_steps_per_second": 4.037,
      "step": 91
    },
    {
      "epoch": 52.57142857142857,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.4449433088302612,
      "eval_runtime": 0.5015,
      "eval_samples_per_second": 71.781,
      "eval_steps_per_second": 3.988,
      "step": 92
    },
    {
      "epoch": 53.714285714285715,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.4513975381851196,
      "eval_runtime": 0.4877,
      "eval_samples_per_second": 73.809,
      "eval_steps_per_second": 4.101,
      "step": 94
    },
    {
      "epoch": 54.857142857142854,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.4684746265411377,
      "eval_runtime": 0.4939,
      "eval_samples_per_second": 72.889,
      "eval_steps_per_second": 4.049,
      "step": 96
    },
    {
      "epoch": 56.0,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.473361611366272,
      "eval_runtime": 0.5076,
      "eval_samples_per_second": 70.919,
      "eval_steps_per_second": 3.94,
      "step": 98
    },
    {
      "epoch": 56.57142857142857,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.4746534824371338,
      "eval_runtime": 0.4963,
      "eval_samples_per_second": 72.541,
      "eval_steps_per_second": 4.03,
      "step": 99
    },
    {
      "epoch": 57.142857142857146,
      "grad_norm": 5.429214000701904,
      "learning_rate": 0.0,
      "loss": 0.3305,
      "step": 100
    },
    {
      "epoch": 57.142857142857146,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.4732346534729004,
      "eval_runtime": 0.4898,
      "eval_samples_per_second": 73.493,
      "eval_steps_per_second": 4.083,
      "step": 100
    },
    {
      "epoch": 57.142857142857146,
      "step": 100,
      "total_flos": 8.903293865079828e+17,
      "train_loss": 0.6188502907752991,
      "train_runtime": 552.0025,
      "train_samples_per_second": 36.413,
      "train_steps_per_second": 0.181
    },
    {
      "epoch": 57.142857142857146,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 1.0162580013275146,
      "eval_runtime": 0.5216,
      "eval_samples_per_second": 69.013,
      "eval_steps_per_second": 3.834,
      "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": 8.903293865079828e+17,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}