{
  "best_metric": 0.6666666666666666,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-17/checkpoint-160",
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 160,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 1.2461354732513428,
      "learning_rate": 0.0004470795307643556,
      "loss": 0.5079,
      "step": 160
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6666666666666666,
      "eval_f1": 0.0,
      "eval_loss": 0.48573797941207886,
      "eval_mcc": 0.0,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 1.875,
      "eval_samples_per_second": 679.994,
      "eval_steps_per_second": 21.333,
      "step": 160
    }
  ],
  "logging_steps": 500,
  "max_steps": 1440,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 9,
  "save_steps": 500,
  "total_flos": 291755437920.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.7930879892159086,
    "learning_rate": 0.0005029644721099001,
    "num_train_epochs": 9,
    "temperature": 30
  }
}