{
  "best_metric": 0.7222222222222222,
  "best_model_checkpoint": "beit-base-patch16-224-hasta-55-fold3/checkpoint-42",
  "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": 1.2994396686553955,
      "eval_runtime": 0.5048,
      "eval_samples_per_second": 71.321,
      "eval_steps_per_second": 3.962,
      "step": 1
    },
    {
      "epoch": 1.7142857142857144,
      "eval_accuracy": 0.3611111111111111,
      "eval_loss": 1.065199613571167,
      "eval_runtime": 0.5019,
      "eval_samples_per_second": 71.728,
      "eval_steps_per_second": 3.985,
      "step": 3
    },
    {
      "epoch": 2.857142857142857,
      "eval_accuracy": 0.3611111111111111,
      "eval_loss": 1.2855467796325684,
      "eval_runtime": 0.5044,
      "eval_samples_per_second": 71.379,
      "eval_steps_per_second": 3.965,
      "step": 5
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.088363766670227,
      "eval_runtime": 0.5018,
      "eval_samples_per_second": 71.74,
      "eval_steps_per_second": 3.986,
      "step": 7
    },
    {
      "epoch": 4.571428571428571,
      "eval_accuracy": 0.4166666666666667,
      "eval_loss": 1.0787646770477295,
      "eval_runtime": 0.4998,
      "eval_samples_per_second": 72.035,
      "eval_steps_per_second": 4.002,
      "step": 8
    },
    {
      "epoch": 5.714285714285714,
      "grad_norm": 7.267054080963135,
      "learning_rate": 5e-05,
      "loss": 1.1909,
      "step": 10
    },
    {
      "epoch": 5.714285714285714,
      "eval_accuracy": 0.5277777777777778,
      "eval_loss": 1.0455502271652222,
      "eval_runtime": 0.5022,
      "eval_samples_per_second": 71.689,
      "eval_steps_per_second": 3.983,
      "step": 10
    },
    {
      "epoch": 6.857142857142857,
      "eval_accuracy": 0.5833333333333334,
      "eval_loss": 0.9973945617675781,
      "eval_runtime": 0.5012,
      "eval_samples_per_second": 71.834,
      "eval_steps_per_second": 3.991,
      "step": 12
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.5,
      "eval_loss": 1.0067553520202637,
      "eval_runtime": 0.5199,
      "eval_samples_per_second": 69.245,
      "eval_steps_per_second": 3.847,
      "step": 14
    },
    {
      "epoch": 8.571428571428571,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 0.9822875261306763,
      "eval_runtime": 0.5198,
      "eval_samples_per_second": 69.26,
      "eval_steps_per_second": 3.848,
      "step": 15
    },
    {
      "epoch": 9.714285714285714,
      "eval_accuracy": 0.5,
      "eval_loss": 0.9753089547157288,
      "eval_runtime": 0.5033,
      "eval_samples_per_second": 71.533,
      "eval_steps_per_second": 3.974,
      "step": 17
    },
    {
      "epoch": 10.857142857142858,
      "eval_accuracy": 0.5277777777777778,
      "eval_loss": 0.9455310106277466,
      "eval_runtime": 0.5007,
      "eval_samples_per_second": 71.901,
      "eval_steps_per_second": 3.995,
      "step": 19
    },
    {
      "epoch": 11.428571428571429,
      "grad_norm": 10.073379516601562,
      "learning_rate": 4.4444444444444447e-05,
      "loss": 0.9469,
      "step": 20
    },
    {
      "epoch": 12.0,
      "eval_accuracy": 0.4444444444444444,
      "eval_loss": 0.9914661049842834,
      "eval_runtime": 0.5004,
      "eval_samples_per_second": 71.947,
      "eval_steps_per_second": 3.997,
      "step": 21
    },
    {
      "epoch": 12.571428571428571,
      "eval_accuracy": 0.5,
      "eval_loss": 0.9366938471794128,
      "eval_runtime": 0.5169,
      "eval_samples_per_second": 69.644,
      "eval_steps_per_second": 3.869,
      "step": 22
    },
    {
      "epoch": 13.714285714285714,
      "eval_accuracy": 0.5277777777777778,
      "eval_loss": 0.9859954118728638,
      "eval_runtime": 0.5076,
      "eval_samples_per_second": 70.924,
      "eval_steps_per_second": 3.94,
      "step": 24
    },
    {
      "epoch": 14.857142857142858,
      "eval_accuracy": 0.5277777777777778,
      "eval_loss": 0.8634018898010254,
      "eval_runtime": 0.5186,
      "eval_samples_per_second": 69.422,
      "eval_steps_per_second": 3.857,
      "step": 26
    },
    {
      "epoch": 16.0,
      "eval_accuracy": 0.5277777777777778,
      "eval_loss": 0.8749646544456482,
      "eval_runtime": 0.5144,
      "eval_samples_per_second": 69.988,
      "eval_steps_per_second": 3.888,
      "step": 28
    },
    {
      "epoch": 16.571428571428573,
      "eval_accuracy": 0.6666666666666666,
      "eval_loss": 0.8053224086761475,
      "eval_runtime": 0.518,
      "eval_samples_per_second": 69.498,
      "eval_steps_per_second": 3.861,
      "step": 29
    },
    {
      "epoch": 17.142857142857142,
      "grad_norm": 5.438823699951172,
      "learning_rate": 3.888888888888889e-05,
      "loss": 0.9167,
      "step": 30
    },
    {
      "epoch": 17.714285714285715,
      "eval_accuracy": 0.6111111111111112,
      "eval_loss": 0.8072555065155029,
      "eval_runtime": 0.516,
      "eval_samples_per_second": 69.761,
      "eval_steps_per_second": 3.876,
      "step": 31
    },
    {
      "epoch": 18.857142857142858,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 0.9109321236610413,
      "eval_runtime": 0.5245,
      "eval_samples_per_second": 68.636,
      "eval_steps_per_second": 3.813,
      "step": 33
    },
    {
      "epoch": 20.0,
      "eval_accuracy": 0.4722222222222222,
      "eval_loss": 0.9607120156288147,
      "eval_runtime": 0.5113,
      "eval_samples_per_second": 70.405,
      "eval_steps_per_second": 3.911,
      "step": 35
    },
    {
      "epoch": 20.571428571428573,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 0.8575677871704102,
      "eval_runtime": 0.5347,
      "eval_samples_per_second": 67.333,
      "eval_steps_per_second": 3.741,
      "step": 36
    },
    {
      "epoch": 21.714285714285715,
      "eval_accuracy": 0.6666666666666666,
      "eval_loss": 0.7514231204986572,
      "eval_runtime": 0.5207,
      "eval_samples_per_second": 69.143,
      "eval_steps_per_second": 3.841,
      "step": 38
    },
    {
      "epoch": 22.857142857142858,
      "grad_norm": 12.949257850646973,
      "learning_rate": 3.3333333333333335e-05,
      "loss": 0.8799,
      "step": 40
    },
    {
      "epoch": 22.857142857142858,
      "eval_accuracy": 0.6111111111111112,
      "eval_loss": 0.7742569446563721,
      "eval_runtime": 0.5163,
      "eval_samples_per_second": 69.728,
      "eval_steps_per_second": 3.874,
      "step": 40
    },
    {
      "epoch": 24.0,
      "eval_accuracy": 0.7222222222222222,
      "eval_loss": 0.7104657292366028,
      "eval_runtime": 0.52,
      "eval_samples_per_second": 69.234,
      "eval_steps_per_second": 3.846,
      "step": 42
    },
    {
      "epoch": 24.571428571428573,
      "eval_accuracy": 0.6944444444444444,
      "eval_loss": 0.6894196271896362,
      "eval_runtime": 0.5195,
      "eval_samples_per_second": 69.291,
      "eval_steps_per_second": 3.849,
      "step": 43
    },
    {
      "epoch": 25.714285714285715,
      "eval_accuracy": 0.6666666666666666,
      "eval_loss": 0.6869931221008301,
      "eval_runtime": 0.515,
      "eval_samples_per_second": 69.907,
      "eval_steps_per_second": 3.884,
      "step": 45
    },
    {
      "epoch": 26.857142857142858,
      "eval_accuracy": 0.6666666666666666,
      "eval_loss": 0.7546054124832153,
      "eval_runtime": 0.5185,
      "eval_samples_per_second": 69.427,
      "eval_steps_per_second": 3.857,
      "step": 47
    },
    {
      "epoch": 28.0,
      "eval_accuracy": 0.6666666666666666,
      "eval_loss": 0.649876058101654,
      "eval_runtime": 0.5136,
      "eval_samples_per_second": 70.097,
      "eval_steps_per_second": 3.894,
      "step": 49
    },
    {
      "epoch": 28.571428571428573,
      "grad_norm": 5.872138023376465,
      "learning_rate": 2.777777777777778e-05,
      "loss": 0.6763,
      "step": 50
    },
    {
      "epoch": 28.571428571428573,
      "eval_accuracy": 0.6944444444444444,
      "eval_loss": 0.6386779546737671,
      "eval_runtime": 0.5241,
      "eval_samples_per_second": 68.695,
      "eval_steps_per_second": 3.816,
      "step": 50
    },
    {
      "epoch": 29.714285714285715,
      "eval_accuracy": 0.7222222222222222,
      "eval_loss": 0.729865550994873,
      "eval_runtime": 0.52,
      "eval_samples_per_second": 69.228,
      "eval_steps_per_second": 3.846,
      "step": 52
    },
    {
      "epoch": 30.857142857142858,
      "eval_accuracy": 0.6111111111111112,
      "eval_loss": 0.6783073544502258,
      "eval_runtime": 0.5204,
      "eval_samples_per_second": 69.176,
      "eval_steps_per_second": 3.843,
      "step": 54
    },
    {
      "epoch": 32.0,
      "eval_accuracy": 0.6666666666666666,
      "eval_loss": 0.7893038988113403,
      "eval_runtime": 0.5078,
      "eval_samples_per_second": 70.888,
      "eval_steps_per_second": 3.938,
      "step": 56
    },
    {
      "epoch": 32.57142857142857,
      "eval_accuracy": 0.5555555555555556,
      "eval_loss": 0.8102678060531616,
      "eval_runtime": 0.516,
      "eval_samples_per_second": 69.77,
      "eval_steps_per_second": 3.876,
      "step": 57
    },
    {
      "epoch": 33.714285714285715,
      "eval_accuracy": 0.6388888888888888,
      "eval_loss": 0.7723207473754883,
      "eval_runtime": 0.5205,
      "eval_samples_per_second": 69.158,
      "eval_steps_per_second": 3.842,
      "step": 59
    },
    {
      "epoch": 34.285714285714285,
      "grad_norm": 8.18472957611084,
      "learning_rate": 2.2222222222222223e-05,
      "loss": 0.593,
      "step": 60
    },
    {
      "epoch": 34.857142857142854,
      "eval_accuracy": 0.6388888888888888,
      "eval_loss": 0.8221275806427002,
      "eval_runtime": 0.5146,
      "eval_samples_per_second": 69.952,
      "eval_steps_per_second": 3.886,
      "step": 61
    },
    {
      "epoch": 36.0,
      "eval_accuracy": 0.6388888888888888,
      "eval_loss": 0.6759254336357117,
      "eval_runtime": 0.5303,
      "eval_samples_per_second": 67.889,
      "eval_steps_per_second": 3.772,
      "step": 63
    },
    {
      "epoch": 36.57142857142857,
      "eval_accuracy": 0.6944444444444444,
      "eval_loss": 0.6458982825279236,
      "eval_runtime": 0.5151,
      "eval_samples_per_second": 69.889,
      "eval_steps_per_second": 3.883,
      "step": 64
    },
    {
      "epoch": 37.714285714285715,
      "eval_accuracy": 0.6666666666666666,
      "eval_loss": 0.6828778982162476,
      "eval_runtime": 0.5166,
      "eval_samples_per_second": 69.693,
      "eval_steps_per_second": 3.872,
      "step": 66
    },
    {
      "epoch": 38.857142857142854,
      "eval_accuracy": 0.6666666666666666,
      "eval_loss": 0.6855132579803467,
      "eval_runtime": 0.5126,
      "eval_samples_per_second": 70.228,
      "eval_steps_per_second": 3.902,
      "step": 68
    },
    {
      "epoch": 40.0,
      "grad_norm": 7.5129570960998535,
      "learning_rate": 1.6666666666666667e-05,
      "loss": 0.5137,
      "step": 70
    },
    {
      "epoch": 40.0,
      "eval_accuracy": 0.6666666666666666,
      "eval_loss": 0.6837748289108276,
      "eval_runtime": 0.5144,
      "eval_samples_per_second": 69.983,
      "eval_steps_per_second": 3.888,
      "step": 70
    },
    {
      "epoch": 40.57142857142857,
      "eval_accuracy": 0.7222222222222222,
      "eval_loss": 0.7038333415985107,
      "eval_runtime": 0.5406,
      "eval_samples_per_second": 66.593,
      "eval_steps_per_second": 3.7,
      "step": 71
    },
    {
      "epoch": 41.714285714285715,
      "eval_accuracy": 0.6944444444444444,
      "eval_loss": 0.6592175364494324,
      "eval_runtime": 0.5127,
      "eval_samples_per_second": 70.222,
      "eval_steps_per_second": 3.901,
      "step": 73
    },
    {
      "epoch": 42.857142857142854,
      "eval_accuracy": 0.6666666666666666,
      "eval_loss": 0.6781519651412964,
      "eval_runtime": 0.5219,
      "eval_samples_per_second": 68.977,
      "eval_steps_per_second": 3.832,
      "step": 75
    },
    {
      "epoch": 44.0,
      "eval_accuracy": 0.6388888888888888,
      "eval_loss": 0.7684199810028076,
      "eval_runtime": 0.5185,
      "eval_samples_per_second": 69.429,
      "eval_steps_per_second": 3.857,
      "step": 77
    },
    {
      "epoch": 44.57142857142857,
      "eval_accuracy": 0.6111111111111112,
      "eval_loss": 0.753241777420044,
      "eval_runtime": 0.5164,
      "eval_samples_per_second": 69.708,
      "eval_steps_per_second": 3.873,
      "step": 78
    },
    {
      "epoch": 45.714285714285715,
      "grad_norm": 8.91373348236084,
      "learning_rate": 1.1111111111111112e-05,
      "loss": 0.4517,
      "step": 80
    },
    {
      "epoch": 45.714285714285715,
      "eval_accuracy": 0.6388888888888888,
      "eval_loss": 0.7316144108772278,
      "eval_runtime": 0.5161,
      "eval_samples_per_second": 69.758,
      "eval_steps_per_second": 3.875,
      "step": 80
    },
    {
      "epoch": 46.857142857142854,
      "eval_accuracy": 0.6388888888888888,
      "eval_loss": 0.6814126372337341,
      "eval_runtime": 0.5191,
      "eval_samples_per_second": 69.353,
      "eval_steps_per_second": 3.853,
      "step": 82
    },
    {
      "epoch": 48.0,
      "eval_accuracy": 0.6111111111111112,
      "eval_loss": 0.6642955541610718,
      "eval_runtime": 0.5218,
      "eval_samples_per_second": 68.994,
      "eval_steps_per_second": 3.833,
      "step": 84
    },
    {
      "epoch": 48.57142857142857,
      "eval_accuracy": 0.6388888888888888,
      "eval_loss": 0.6613295078277588,
      "eval_runtime": 0.518,
      "eval_samples_per_second": 69.496,
      "eval_steps_per_second": 3.861,
      "step": 85
    },
    {
      "epoch": 49.714285714285715,
      "eval_accuracy": 0.6388888888888888,
      "eval_loss": 0.6539488434791565,
      "eval_runtime": 0.5215,
      "eval_samples_per_second": 69.028,
      "eval_steps_per_second": 3.835,
      "step": 87
    },
    {
      "epoch": 50.857142857142854,
      "eval_accuracy": 0.6388888888888888,
      "eval_loss": 0.6436237692832947,
      "eval_runtime": 0.5149,
      "eval_samples_per_second": 69.92,
      "eval_steps_per_second": 3.884,
      "step": 89
    },
    {
      "epoch": 51.42857142857143,
      "grad_norm": 8.68427562713623,
      "learning_rate": 5.555555555555556e-06,
      "loss": 0.4126,
      "step": 90
    },
    {
      "epoch": 52.0,
      "eval_accuracy": 0.6666666666666666,
      "eval_loss": 0.6380901336669922,
      "eval_runtime": 0.5244,
      "eval_samples_per_second": 68.652,
      "eval_steps_per_second": 3.814,
      "step": 91
    },
    {
      "epoch": 52.57142857142857,
      "eval_accuracy": 0.6666666666666666,
      "eval_loss": 0.636466383934021,
      "eval_runtime": 0.5312,
      "eval_samples_per_second": 67.768,
      "eval_steps_per_second": 3.765,
      "step": 92
    },
    {
      "epoch": 53.714285714285715,
      "eval_accuracy": 0.6388888888888888,
      "eval_loss": 0.6374828815460205,
      "eval_runtime": 0.5171,
      "eval_samples_per_second": 69.623,
      "eval_steps_per_second": 3.868,
      "step": 94
    },
    {
      "epoch": 54.857142857142854,
      "eval_accuracy": 0.6111111111111112,
      "eval_loss": 0.6452690958976746,
      "eval_runtime": 0.5129,
      "eval_samples_per_second": 70.185,
      "eval_steps_per_second": 3.899,
      "step": 96
    },
    {
      "epoch": 56.0,
      "eval_accuracy": 0.6111111111111112,
      "eval_loss": 0.648621678352356,
      "eval_runtime": 0.525,
      "eval_samples_per_second": 68.571,
      "eval_steps_per_second": 3.809,
      "step": 98
    },
    {
      "epoch": 56.57142857142857,
      "eval_accuracy": 0.6111111111111112,
      "eval_loss": 0.648608922958374,
      "eval_runtime": 0.5121,
      "eval_samples_per_second": 70.297,
      "eval_steps_per_second": 3.905,
      "step": 99
    },
    {
      "epoch": 57.142857142857146,
      "grad_norm": 8.446288108825684,
      "learning_rate": 0.0,
      "loss": 0.3715,
      "step": 100
    },
    {
      "epoch": 57.142857142857146,
      "eval_accuracy": 0.6111111111111112,
      "eval_loss": 0.6486251354217529,
      "eval_runtime": 0.5197,
      "eval_samples_per_second": 69.265,
      "eval_steps_per_second": 3.848,
      "step": 100
    },
    {
      "epoch": 57.142857142857146,
      "step": 100,
      "total_flos": 8.766873360020644e+17,
      "train_loss": 0.6953265452384949,
      "train_runtime": 563.1349,
      "train_samples_per_second": 35.16,
      "train_steps_per_second": 0.178
    },
    {
      "epoch": 57.142857142857146,
      "eval_accuracy": 0.7222222222222222,
      "eval_loss": 0.7104657292366028,
      "eval_runtime": 0.5899,
      "eval_samples_per_second": 61.025,
      "eval_steps_per_second": 3.39,
      "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
}