{
  "best_metric": 1.0,
  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat-leukemia-3000-finetuned-leukemia-1000\\checkpoint-57",
  "epoch": 9.824561403508772,
  "eval_steps": 500,
  "global_step": 140,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.7017543859649122,
      "grad_norm": 10.25106143951416,
      "learning_rate": 3.571428571428572e-05,
      "loss": 0.5471,
      "step": 10
    },
    {
      "epoch": 0.9824561403508771,
      "eval_accuracy": 0.955,
      "eval_loss": 0.12403497099876404,
      "eval_runtime": 71.4511,
      "eval_samples_per_second": 2.799,
      "eval_steps_per_second": 0.098,
      "step": 14
    },
    {
      "epoch": 1.4035087719298245,
      "grad_norm": 12.660431861877441,
      "learning_rate": 4.761904761904762e-05,
      "loss": 0.1792,
      "step": 20
    },
    {
      "epoch": 1.9649122807017543,
      "eval_accuracy": 0.985,
      "eval_loss": 0.04925594478845596,
      "eval_runtime": 70.8726,
      "eval_samples_per_second": 2.822,
      "eval_steps_per_second": 0.099,
      "step": 28
    },
    {
      "epoch": 2.1052631578947367,
      "grad_norm": 12.378658294677734,
      "learning_rate": 4.3650793650793655e-05,
      "loss": 0.1079,
      "step": 30
    },
    {
      "epoch": 2.807017543859649,
      "grad_norm": 7.088730335235596,
      "learning_rate": 3.968253968253968e-05,
      "loss": 0.0936,
      "step": 40
    },
    {
      "epoch": 2.9473684210526314,
      "eval_accuracy": 0.965,
      "eval_loss": 0.12096397578716278,
      "eval_runtime": 69.7246,
      "eval_samples_per_second": 2.868,
      "eval_steps_per_second": 0.1,
      "step": 42
    },
    {
      "epoch": 3.5087719298245617,
      "grad_norm": 7.469219207763672,
      "learning_rate": 3.571428571428572e-05,
      "loss": 0.0907,
      "step": 50
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 1.0,
      "eval_loss": 0.005616894923150539,
      "eval_runtime": 69.6907,
      "eval_samples_per_second": 2.87,
      "eval_steps_per_second": 0.1,
      "step": 57
    },
    {
      "epoch": 4.2105263157894735,
      "grad_norm": 5.905189514160156,
      "learning_rate": 3.1746031746031745e-05,
      "loss": 0.0634,
      "step": 60
    },
    {
      "epoch": 4.912280701754386,
      "grad_norm": 1.427998423576355,
      "learning_rate": 2.777777777777778e-05,
      "loss": 0.0441,
      "step": 70
    },
    {
      "epoch": 4.982456140350877,
      "eval_accuracy": 0.995,
      "eval_loss": 0.01654110848903656,
      "eval_runtime": 71.9654,
      "eval_samples_per_second": 2.779,
      "eval_steps_per_second": 0.097,
      "step": 71
    },
    {
      "epoch": 5.614035087719298,
      "grad_norm": 42.998802185058594,
      "learning_rate": 2.380952380952381e-05,
      "loss": 0.0341,
      "step": 80
    },
    {
      "epoch": 5.964912280701754,
      "eval_accuracy": 0.995,
      "eval_loss": 0.0058908830396831036,
      "eval_runtime": 71.908,
      "eval_samples_per_second": 2.781,
      "eval_steps_per_second": 0.097,
      "step": 85
    },
    {
      "epoch": 6.315789473684211,
      "grad_norm": 3.4468114376068115,
      "learning_rate": 1.984126984126984e-05,
      "loss": 0.0406,
      "step": 90
    },
    {
      "epoch": 6.947368421052632,
      "eval_accuracy": 1.0,
      "eval_loss": 0.0017600071150809526,
      "eval_runtime": 72.5057,
      "eval_samples_per_second": 2.758,
      "eval_steps_per_second": 0.097,
      "step": 99
    },
    {
      "epoch": 7.017543859649122,
      "grad_norm": 9.760284423828125,
      "learning_rate": 1.5873015873015872e-05,
      "loss": 0.0521,
      "step": 100
    },
    {
      "epoch": 7.719298245614035,
      "grad_norm": 10.58344841003418,
      "learning_rate": 1.1904761904761905e-05,
      "loss": 0.013,
      "step": 110
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.995,
      "eval_loss": 0.019968407228589058,
      "eval_runtime": 75.6615,
      "eval_samples_per_second": 2.643,
      "eval_steps_per_second": 0.093,
      "step": 114
    },
    {
      "epoch": 8.421052631578947,
      "grad_norm": 5.659635543823242,
      "learning_rate": 7.936507936507936e-06,
      "loss": 0.0342,
      "step": 120
    },
    {
      "epoch": 8.982456140350877,
      "eval_accuracy": 1.0,
      "eval_loss": 0.003038285067304969,
      "eval_runtime": 73.7463,
      "eval_samples_per_second": 2.712,
      "eval_steps_per_second": 0.095,
      "step": 128
    },
    {
      "epoch": 9.12280701754386,
      "grad_norm": 9.32413101196289,
      "learning_rate": 3.968253968253968e-06,
      "loss": 0.0186,
      "step": 130
    },
    {
      "epoch": 9.824561403508772,
      "grad_norm": 6.734475612640381,
      "learning_rate": 0.0,
      "loss": 0.0246,
      "step": 140
    },
    {
      "epoch": 9.824561403508772,
      "eval_accuracy": 1.0,
      "eval_loss": 0.002627989277243614,
      "eval_runtime": 71.8163,
      "eval_samples_per_second": 2.785,
      "eval_steps_per_second": 0.097,
      "step": 140
    },
    {
      "epoch": 9.824561403508772,
      "step": 140,
      "total_flos": 4.400504290055946e+17,
      "train_loss": 0.09594950729182788,
      "train_runtime": 15427.52,
      "train_samples_per_second": 1.167,
      "train_steps_per_second": 0.009
    }
  ],
  "logging_steps": 10,
  "max_steps": 140,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "save_steps": 500,
  "total_flos": 4.400504290055946e+17,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}