{
  "best_metric": 0.8653846153846154,
  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-phones/checkpoint-135",
  "epoch": 28.0,
  "eval_steps": 500,
  "global_step": 210,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.9333333333333333,
      "eval_accuracy": 0.5673076923076923,
      "eval_loss": 0.6742563247680664,
      "eval_runtime": 1.0496,
      "eval_samples_per_second": 99.088,
      "eval_steps_per_second": 3.811,
      "step": 7
    },
    {
      "epoch": 1.3333333333333333,
      "grad_norm": 5.86643123626709,
      "learning_rate": 2.380952380952381e-05,
      "loss": 0.6763,
      "step": 10
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.6923076923076923,
      "eval_loss": 0.6165803670883179,
      "eval_runtime": 0.6494,
      "eval_samples_per_second": 160.146,
      "eval_steps_per_second": 6.159,
      "step": 15
    },
    {
      "epoch": 2.6666666666666665,
      "grad_norm": 6.109733581542969,
      "learning_rate": 4.761904761904762e-05,
      "loss": 0.635,
      "step": 20
    },
    {
      "epoch": 2.9333333333333336,
      "eval_accuracy": 0.7403846153846154,
      "eval_loss": 0.5646082758903503,
      "eval_runtime": 0.7406,
      "eval_samples_per_second": 140.428,
      "eval_steps_per_second": 5.401,
      "step": 22
    },
    {
      "epoch": 4.0,
      "grad_norm": 14.055779457092285,
      "learning_rate": 4.761904761904762e-05,
      "loss": 0.5724,
      "step": 30
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7307692307692307,
      "eval_loss": 0.5073935985565186,
      "eval_runtime": 0.6701,
      "eval_samples_per_second": 155.19,
      "eval_steps_per_second": 5.969,
      "step": 30
    },
    {
      "epoch": 4.933333333333334,
      "eval_accuracy": 0.7692307692307693,
      "eval_loss": 0.48087915778160095,
      "eval_runtime": 0.6729,
      "eval_samples_per_second": 154.555,
      "eval_steps_per_second": 5.944,
      "step": 37
    },
    {
      "epoch": 5.333333333333333,
      "grad_norm": 8.836523056030273,
      "learning_rate": 4.4973544973544974e-05,
      "loss": 0.527,
      "step": 40
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.7692307692307693,
      "eval_loss": 0.45965665578842163,
      "eval_runtime": 0.6926,
      "eval_samples_per_second": 150.153,
      "eval_steps_per_second": 5.775,
      "step": 45
    },
    {
      "epoch": 6.666666666666667,
      "grad_norm": 6.653749465942383,
      "learning_rate": 4.232804232804233e-05,
      "loss": 0.5304,
      "step": 50
    },
    {
      "epoch": 6.933333333333334,
      "eval_accuracy": 0.7596153846153846,
      "eval_loss": 0.47583022713661194,
      "eval_runtime": 0.681,
      "eval_samples_per_second": 152.716,
      "eval_steps_per_second": 5.874,
      "step": 52
    },
    {
      "epoch": 8.0,
      "grad_norm": 13.230646133422852,
      "learning_rate": 3.968253968253968e-05,
      "loss": 0.4597,
      "step": 60
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.7884615384615384,
      "eval_loss": 0.43429186940193176,
      "eval_runtime": 0.7692,
      "eval_samples_per_second": 135.213,
      "eval_steps_per_second": 5.2,
      "step": 60
    },
    {
      "epoch": 8.933333333333334,
      "eval_accuracy": 0.7980769230769231,
      "eval_loss": 0.42488300800323486,
      "eval_runtime": 0.6816,
      "eval_samples_per_second": 152.578,
      "eval_steps_per_second": 5.868,
      "step": 67
    },
    {
      "epoch": 9.333333333333334,
      "grad_norm": 8.930418968200684,
      "learning_rate": 3.7037037037037037e-05,
      "loss": 0.4606,
      "step": 70
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.7980769230769231,
      "eval_loss": 0.42358094453811646,
      "eval_runtime": 0.6708,
      "eval_samples_per_second": 155.044,
      "eval_steps_per_second": 5.963,
      "step": 75
    },
    {
      "epoch": 10.666666666666666,
      "grad_norm": 10.609027862548828,
      "learning_rate": 3.439153439153439e-05,
      "loss": 0.4286,
      "step": 80
    },
    {
      "epoch": 10.933333333333334,
      "eval_accuracy": 0.8461538461538461,
      "eval_loss": 0.4054819643497467,
      "eval_runtime": 0.6768,
      "eval_samples_per_second": 153.664,
      "eval_steps_per_second": 5.91,
      "step": 82
    },
    {
      "epoch": 12.0,
      "grad_norm": 5.532287120819092,
      "learning_rate": 3.1746031746031745e-05,
      "loss": 0.3857,
      "step": 90
    },
    {
      "epoch": 12.0,
      "eval_accuracy": 0.8269230769230769,
      "eval_loss": 0.4144248962402344,
      "eval_runtime": 0.7584,
      "eval_samples_per_second": 137.132,
      "eval_steps_per_second": 5.274,
      "step": 90
    },
    {
      "epoch": 12.933333333333334,
      "eval_accuracy": 0.7980769230769231,
      "eval_loss": 0.4293949007987976,
      "eval_runtime": 0.6743,
      "eval_samples_per_second": 154.239,
      "eval_steps_per_second": 5.932,
      "step": 97
    },
    {
      "epoch": 13.333333333333334,
      "grad_norm": 11.760865211486816,
      "learning_rate": 2.91005291005291e-05,
      "loss": 0.3801,
      "step": 100
    },
    {
      "epoch": 14.0,
      "eval_accuracy": 0.8461538461538461,
      "eval_loss": 0.40805691480636597,
      "eval_runtime": 0.6845,
      "eval_samples_per_second": 151.929,
      "eval_steps_per_second": 5.843,
      "step": 105
    },
    {
      "epoch": 14.666666666666666,
      "grad_norm": 11.491521835327148,
      "learning_rate": 2.6455026455026456e-05,
      "loss": 0.3538,
      "step": 110
    },
    {
      "epoch": 14.933333333333334,
      "eval_accuracy": 0.8461538461538461,
      "eval_loss": 0.4194793403148651,
      "eval_runtime": 0.674,
      "eval_samples_per_second": 154.298,
      "eval_steps_per_second": 5.935,
      "step": 112
    },
    {
      "epoch": 16.0,
      "grad_norm": 11.567109107971191,
      "learning_rate": 2.380952380952381e-05,
      "loss": 0.3585,
      "step": 120
    },
    {
      "epoch": 16.0,
      "eval_accuracy": 0.8557692307692307,
      "eval_loss": 0.4068710207939148,
      "eval_runtime": 0.7839,
      "eval_samples_per_second": 132.667,
      "eval_steps_per_second": 5.103,
      "step": 120
    },
    {
      "epoch": 16.933333333333334,
      "eval_accuracy": 0.8557692307692307,
      "eval_loss": 0.3970623016357422,
      "eval_runtime": 0.6669,
      "eval_samples_per_second": 155.948,
      "eval_steps_per_second": 5.998,
      "step": 127
    },
    {
      "epoch": 17.333333333333332,
      "grad_norm": 12.216808319091797,
      "learning_rate": 2.1164021164021164e-05,
      "loss": 0.3258,
      "step": 130
    },
    {
      "epoch": 18.0,
      "eval_accuracy": 0.8653846153846154,
      "eval_loss": 0.39384937286376953,
      "eval_runtime": 0.6899,
      "eval_samples_per_second": 150.747,
      "eval_steps_per_second": 5.798,
      "step": 135
    },
    {
      "epoch": 18.666666666666668,
      "grad_norm": 15.223637580871582,
      "learning_rate": 1.8518518518518518e-05,
      "loss": 0.3288,
      "step": 140
    },
    {
      "epoch": 18.933333333333334,
      "eval_accuracy": 0.8461538461538461,
      "eval_loss": 0.396359384059906,
      "eval_runtime": 0.6861,
      "eval_samples_per_second": 151.574,
      "eval_steps_per_second": 5.83,
      "step": 142
    },
    {
      "epoch": 20.0,
      "grad_norm": 25.446683883666992,
      "learning_rate": 1.5873015873015872e-05,
      "loss": 0.3276,
      "step": 150
    },
    {
      "epoch": 20.0,
      "eval_accuracy": 0.8557692307692307,
      "eval_loss": 0.44233372807502747,
      "eval_runtime": 0.6969,
      "eval_samples_per_second": 149.226,
      "eval_steps_per_second": 5.739,
      "step": 150
    },
    {
      "epoch": 20.933333333333334,
      "eval_accuracy": 0.8365384615384616,
      "eval_loss": 0.40670448541641235,
      "eval_runtime": 0.7625,
      "eval_samples_per_second": 136.392,
      "eval_steps_per_second": 5.246,
      "step": 157
    },
    {
      "epoch": 21.333333333333332,
      "grad_norm": 10.679701805114746,
      "learning_rate": 1.3227513227513228e-05,
      "loss": 0.317,
      "step": 160
    },
    {
      "epoch": 22.0,
      "eval_accuracy": 0.8653846153846154,
      "eval_loss": 0.4178958535194397,
      "eval_runtime": 0.6933,
      "eval_samples_per_second": 150.017,
      "eval_steps_per_second": 5.77,
      "step": 165
    },
    {
      "epoch": 22.666666666666668,
      "grad_norm": 12.451942443847656,
      "learning_rate": 1.0582010582010582e-05,
      "loss": 0.288,
      "step": 170
    },
    {
      "epoch": 22.933333333333334,
      "eval_accuracy": 0.8557692307692307,
      "eval_loss": 0.3881677985191345,
      "eval_runtime": 0.6592,
      "eval_samples_per_second": 157.766,
      "eval_steps_per_second": 6.068,
      "step": 172
    },
    {
      "epoch": 24.0,
      "grad_norm": 11.666213989257812,
      "learning_rate": 7.936507936507936e-06,
      "loss": 0.2735,
      "step": 180
    },
    {
      "epoch": 24.0,
      "eval_accuracy": 0.8557692307692307,
      "eval_loss": 0.42146697640419006,
      "eval_runtime": 0.6742,
      "eval_samples_per_second": 154.246,
      "eval_steps_per_second": 5.933,
      "step": 180
    },
    {
      "epoch": 24.933333333333334,
      "eval_accuracy": 0.8461538461538461,
      "eval_loss": 0.3971670866012573,
      "eval_runtime": 0.7934,
      "eval_samples_per_second": 131.085,
      "eval_steps_per_second": 5.042,
      "step": 187
    },
    {
      "epoch": 25.333333333333332,
      "grad_norm": 7.033930778503418,
      "learning_rate": 5.291005291005291e-06,
      "loss": 0.2805,
      "step": 190
    },
    {
      "epoch": 26.0,
      "eval_accuracy": 0.8557692307692307,
      "eval_loss": 0.3943334221839905,
      "eval_runtime": 0.6986,
      "eval_samples_per_second": 148.874,
      "eval_steps_per_second": 5.726,
      "step": 195
    },
    {
      "epoch": 26.666666666666668,
      "grad_norm": 5.698335647583008,
      "learning_rate": 2.6455026455026455e-06,
      "loss": 0.2961,
      "step": 200
    },
    {
      "epoch": 26.933333333333334,
      "eval_accuracy": 0.8557692307692307,
      "eval_loss": 0.39985355734825134,
      "eval_runtime": 0.691,
      "eval_samples_per_second": 150.514,
      "eval_steps_per_second": 5.789,
      "step": 202
    },
    {
      "epoch": 28.0,
      "grad_norm": 9.678221702575684,
      "learning_rate": 0.0,
      "loss": 0.2832,
      "step": 210
    },
    {
      "epoch": 28.0,
      "eval_accuracy": 0.8557692307692307,
      "eval_loss": 0.4042527377605438,
      "eval_runtime": 0.6919,
      "eval_samples_per_second": 150.307,
      "eval_steps_per_second": 5.781,
      "step": 210
    },
    {
      "epoch": 28.0,
      "step": 210,
      "total_flos": 6.51425759341314e+17,
      "train_loss": 0.4042152370725359,
      "train_runtime": 453.861,
      "train_samples_per_second": 61.869,
      "train_steps_per_second": 0.463
    }
  ],
  "logging_steps": 10,
  "max_steps": 210,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 30,
  "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": 6.51425759341314e+17,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}