{
  "best_metric": 0.9713600958657879,
  "best_model_checkpoint": "bert-base-uncased-finetuned-spam-real/run-1/checkpoint-836",
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 836,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.954104254044338,
      "eval_loss": 0.19407691061496735,
      "eval_runtime": 591.9344,
      "eval_samples_per_second": 28.196,
      "eval_steps_per_second": 1.764,
      "step": 418
    },
    {
      "epoch": 1.2,
      "grad_norm": 2.8940045833587646,
      "learning_rate": 5.932776707197725e-05,
      "loss": 0.2105,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9713600958657879,
      "eval_loss": 0.1521669328212738,
      "eval_runtime": 587.4301,
      "eval_samples_per_second": 28.412,
      "eval_steps_per_second": 1.777,
      "step": 836
    }
  ],
  "logging_steps": 500,
  "max_steps": 1254,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 500,
  "total_flos": 2092966223184000.0,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 9.86697876767367e-05,
    "num_train_epochs": 3,
    "per_device_train_batch_size": 16,
    "seed": 14
  }
}