{
  "best_metric": 0.6895306859205776,
  "best_model_checkpoint": "./fine-tune/bert-base-uncased/rte/checkpoint-468",
  "epoch": 3.0,
  "global_step": 468,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.631768953068592,
      "eval_loss": 0.6537421941757202,
      "eval_runtime": 1.4835,
      "eval_samples_per_second": 186.725,
      "eval_steps_per_second": 23.593,
      "step": 156
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.6534296028880866,
      "eval_loss": 0.6383388042449951,
      "eval_runtime": 1.4171,
      "eval_samples_per_second": 195.465,
      "eval_steps_per_second": 24.698,
      "step": 312
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.6895306859205776,
      "eval_loss": 0.6972283720970154,
      "eval_runtime": 1.4627,
      "eval_samples_per_second": 189.379,
      "eval_steps_per_second": 23.929,
      "step": 468
    },
    {
      "epoch": 3.0,
      "step": 468,
      "total_flos": 491359895884800.0,
      "train_loss": 0.5218920259394197,
      "train_runtime": 132.1109,
      "train_samples_per_second": 56.543,
      "train_steps_per_second": 3.542
    }
  ],
  "max_steps": 468,
  "num_train_epochs": 3,
  "total_flos": 491359895884800.0,
  "trial_name": null,
  "trial_params": null
}