{
  "best_metric": 0.7827788649706457,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-29/checkpoint-192",
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 192,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 3.586991786956787,
      "learning_rate": 3.692143561656546e-05,
      "loss": 0.6017,
      "step": 192
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7827788649706457,
      "eval_f1": 0.8069565217391305,
      "eval_loss": 0.4981837570667267,
      "eval_mcc": 0.5841818055857166,
      "eval_precision": 0.7261345852895149,
      "eval_recall": 0.9080234833659491,
      "eval_runtime": 66.722,
      "eval_samples_per_second": 15.317,
      "eval_steps_per_second": 0.48,
      "step": 192
    }
  ],
  "logging_steps": 500,
  "max_steps": 384,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 2,
  "save_steps": 500,
  "total_flos": 235695197280.0,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.9213628300882283,
    "learning_rate": 7.384287123313092e-05,
    "num_train_epochs": 2,
    "per_device_train_batch_size": 16,
    "temperature": 21
  }
}