{
  "selection": {
    "top_k_by_val_loss": 3,
    "selected_learning_rate": 0.0001,
    "selected_eval_loss": 0.1933770477771759,
    "selected_val_accuracy": 0.4332688588007737,
    "selection_metric": "val_accuracy",
    "selection_pool": "all_results_with_val_accuracy"
  },
  "all_results": [
    {
      "learning_rate": 5e-06,
      "eval_loss": 1.0011147260665894,
      "val_accuracy": 0.23597678916827852
    },
    {
      "learning_rate": 1e-05,
      "eval_loss": 0.5858653783798218,
      "val_accuracy": 0.25918762088974856
    },
    {
      "learning_rate": 2e-05,
      "eval_loss": 0.4446895122528076,
      "val_accuracy": 0.29206963249516443
    },
    {
      "learning_rate": 5e-05,
      "eval_loss": 0.2296552062034607,
      "val_accuracy": 0.32688588007736946
    },
    {
      "learning_rate": 0.0001,
      "eval_loss": 0.1933770477771759,
      "val_accuracy": 0.4332688588007737
    }
  ],
  "top_by_val_loss": [
    {
      "learning_rate": 0.0001,
      "eval_loss": 0.1933770477771759,
      "val_accuracy": 0.4332688588007737
    },
    {
      "learning_rate": 5e-05,
      "eval_loss": 0.2296552062034607,
      "val_accuracy": 0.32688588007736946
    },
    {
      "learning_rate": 2e-05,
      "eval_loss": 0.4446895122528076,
      "val_accuracy": 0.29206963249516443
    }
  ]
}