{
  "best_metric": 0.47399640503295387,
  "best_model_checkpoint": "bert-finetuned-spam/run-1/checkpoint-52",
  "epoch": 1.9904306220095693,
  "eval_steps": 500,
  "global_step": 104,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.9952153110047847,
      "eval_accuracy": 0.47399640503295387,
      "eval_loss": NaN,
      "eval_runtime": 103.4506,
      "eval_samples_per_second": 161.333,
      "eval_steps_per_second": 20.174,
      "step": 52
    },
    {
      "epoch": 1.9904306220095693,
      "eval_accuracy": 0.47399640503295387,
      "eval_loss": NaN,
      "eval_runtime": 103.5051,
      "eval_samples_per_second": 161.248,
      "eval_steps_per_second": 20.163,
      "step": 104
    }
  ],
  "logging_steps": 500,
  "max_steps": 104,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 2,
  "save_steps": 500,
  "total_flos": 0,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 8.46705518946506e-06,
    "num_train_epochs": 2,
    "per_device_train_batch_size": 16,
    "seed": 18
  }
}