code: def __call__(
      self,
      model,
      output_path: str = None,
      epoch: int = -1,
      steps: int = -1,
  ) -> float:
      """
      This is called during training to evaluate the model.
      It returns a score for the evaluation with a higher score indicating a better result.
  
      :param model:
          the model to evaluate
      :param output_path:
          path where predictions and metrics are written to
      :param epoch
          the epoch where the evaluation takes place.
          This is used for the file prefixes.
          If this is -1, then we assume evaluation on test data.
      :param steps
          the steps in the current epoch at time of the evaluation.
          This is used for the file prefixes.
          If this is -1, then we assume evaluation at the end of the epoch.
      :return: a score for the evaluation with a higher score indicating a better result
      """
      pass
  
label_desc: Use image node_id 1 for calling the SentenceEvaluator obj's underlying member method code with example usage: obj.__call__(model, output_path, epoch, steps) without return types