{
  "best_metric": 0.8096330275229358,
  "best_model_checkpoint": "tiny-bert-sst2-distilled\\run-0\\checkpoint-1054",
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 1054,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "learning_rate": 0.0006568555243553003,
      "loss": 0.9823,
      "step": 527
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8084862385321101,
      "eval_loss": 1.3724825382232666,
      "eval_runtime": 1.7972,
      "eval_samples_per_second": 485.194,
      "eval_steps_per_second": 3.895,
      "step": 527
    },
    {
      "epoch": 2.0,
      "learning_rate": 0.0005838715772047113,
      "loss": 0.4476,
      "step": 1054
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8096330275229358,
      "eval_loss": 1.3287416696548462,
      "eval_runtime": 1.7495,
      "eval_samples_per_second": 498.417,
      "eval_steps_per_second": 4.001,
      "step": 1054
    }
  ],
  "logging_steps": 500,
  "max_steps": 5270,
  "num_train_epochs": 10,
  "save_steps": 500,
  "total_flos": 16141525436100.0,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.5351224538156584,
    "learning_rate": 0.0007298394715058892,
    "num_train_epochs": 10,
    "temperature": 24
  }
}