{
  "best_metric": 0.9231651376146789,
  "best_model_checkpoint": "bert-base-uncased-finetuned-sst2/run-1/checkpoint-421",
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 842,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9231651376146789,
      "eval_loss": 0.24830688536167145,
      "eval_runtime": 2.2848,
      "eval_samples_per_second": 381.657,
      "eval_steps_per_second": 24.072,
      "step": 421
    },
    {
      "epoch": 1.19,
      "grad_norm": 1.174437165260315,
      "learning_rate": 3.136892070081642e-05,
      "loss": 0.3128,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9139908256880734,
      "eval_loss": 0.3306081295013428,
      "eval_runtime": 2.3075,
      "eval_samples_per_second": 377.901,
      "eval_steps_per_second": 23.835,
      "step": 842
    }
  ],
  "logging_steps": 500,
  "max_steps": 1263,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 500,
  "total_flos": 145542552494040.0,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 5.192522522297658e-05,
    "num_train_epochs": 3,
    "per_device_train_batch_size": 16,
    "seed": 6
  }
}