src/evaluate/evaluator/text2text_generation.py [128:149]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        generation_kwargs: dict = None,
    ) -> Tuple[Dict[str, float], Any]:
        if generation_kwargs is not None:
            self.PIPELINE_KWARGS.update(generation_kwargs)

        result = super().compute(
            model_or_pipeline=model_or_pipeline,
            data=data,
            subset=subset,
            split=split,
            metric=metric,
            tokenizer=tokenizer,
            strategy=strategy,
            confidence_level=confidence_level,
            n_resamples=n_resamples,
            device=device,
            random_state=random_state,
            input_column=input_column,
            label_column=label_column,
        )

        return result
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -