{
  "best_metric": 0.47399640503295387,
  "best_model_checkpoint": "bert-base-uncased-finetuned-spam/run-1/checkpoint-26",
  "epoch": 1.980952380952381,
  "eval_steps": 500,
  "global_step": 52,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.9904761904761905,
      "eval_accuracy": 0.47399640503295387,
      "eval_loss": 0.7567710876464844,
      "eval_runtime": 103.3108,
      "eval_samples_per_second": 161.551,
      "eval_steps_per_second": 20.201,
      "step": 26
    },
    {
      "epoch": 1.980952380952381,
      "eval_accuracy": 0.47399640503295387,
      "eval_loss": 0.7486728429794312,
      "eval_runtime": 103.3614,
      "eval_samples_per_second": 161.472,
      "eval_steps_per_second": 20.191,
      "step": 52
    }
  ],
  "logging_steps": 500,
  "max_steps": 130,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "total_flos": 0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 2.3328135471114543e-06,
    "num_train_epochs": 5,
    "per_device_train_batch_size": 32,
    "seed": 7
  }
}