{
  "best_metric": 0.5623762376237624,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-10/checkpoint-297",
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 297,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 2.256939649581909,
      "learning_rate": 0.00020003476406791257,
      "loss": 0.6792,
      "step": 297
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5623762376237624,
      "eval_f1": 0.4199475065616798,
      "eval_loss": 0.6835970878601074,
      "eval_mcc": 0.14191809339823447,
      "eval_precision": 0.6201550387596899,
      "eval_recall": 0.31746031746031744,
      "eval_runtime": 0.9302,
      "eval_samples_per_second": 542.921,
      "eval_steps_per_second": 17.201,
      "step": 297
    }
  ],
  "logging_steps": 500,
  "max_steps": 1782,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 6,
  "save_steps": 500,
  "total_flos": 730701265980.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.9802546625572438,
    "learning_rate": 0.00024004171688149506,
    "num_train_epochs": 6,
    "temperature": 49
  }
}