trainer_state.json

{
  "best_metric": 0.8095238095238095,
  "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-3",
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 3,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.6666666666666666,
      "eval_accuracy": 0.5238095238095238,
      "eval_loss": 0.6702501177787781,
      "eval_runtime": 0.1764,
      "eval_samples_per_second": 119.015,
      "eval_steps_per_second": 5.667,
      "step": 1
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8095238095238095,
      "eval_loss": 0.5368531346321106,
      "eval_runtime": 0.2329,
      "eval_samples_per_second": 90.166,
      "eval_steps_per_second": 4.294,
      "step": 3
    },
    {
      "epoch": 2.0,
      "step": 3,
      "total_flos": 8997868012879872.0,
      "train_loss": 0.6559792359670004,
      "train_runtime": 10.9739,
      "train_samples_per_second": 49.481,
      "train_steps_per_second": 0.273
    }
  ],
  "logging_steps": 10,
  "max_steps": 3,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 500,
  "total_flos": 8997868012879872.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}