{
  "best_metric": 0.7533333333333333,
  "best_model_checkpoint": "Bert_tinybert-distilled/run-18/checkpoint-172",
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 172,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 0.5358241200447083,
      "learning_rate": 0.00015590369179509114,
      "loss": 0.3755,
      "step": 172
    },
    {
      "epoch": 1.0,
      "eval_AUC": 0.8250026666666667,
      "eval_BAC": 0.7533333333333333,
      "eval_MCC": 0.5072513572061289,
      "eval_PR_AUC": 0.7777873442469706,
      "eval_accuracy": 0.7533333333333333,
      "eval_loss": 0.34898021817207336,
      "eval_runtime": 6.2992,
      "eval_samples_per_second": 238.127,
      "eval_steps_per_second": 7.461,
      "step": 172
    }
  ],
  "logging_steps": 500,
  "max_steps": 1548,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 9,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 450377730000.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.5621897712480096,
    "learning_rate": 0.00017539165326947755,
    "num_train_epochs": 9,
    "temperature": 10
  }
}