{
  "best_metric": 0.6666666666666666,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-6/checkpoint-214",
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 214,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 1.7624236345291138,
      "learning_rate": 1.5910505716425373e-05,
      "loss": 0.3605,
      "step": 214
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.6666666666666666,
      "eval_f1": 0.0,
      "eval_loss": 0.3405539095401764,
      "eval_mcc": 0.0,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 3.1408,
      "eval_samples_per_second": 543.484,
      "eval_steps_per_second": 17.193,
      "step": 214
    }
  ],
  "logging_steps": 500,
  "max_steps": 856,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 4,
  "save_steps": 500,
  "total_flos": 524775664440.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.5123346903654048,
    "learning_rate": 2.1214007621900497e-05,
    "num_train_epochs": 4,
    "temperature": 10
  }
}