    def _log_metrics(self, sample, model, logging_output):
        metrics = self._inference_with_metrics(
            sample,
            model,
        )
        """
        logging_output["_precision"] = metrics["precision"]
        logging_output["_recall"] = metrics["recall"]
        logging_output["_f1"] = metrics["f1"]
        logging_output["_eer"] = metrics["eer"]
        logging_output["_accuracy"] = metrics["accuracy"]
        """
        logging_output["_correct"] = metrics["correct"]
        logging_output["_total"] = metrics["total"]
logging_output["_precision"] = metrics["precision"]
logging_output["_recall"] = metrics["recall"]
logging_output["_f1"] = metrics["f1"]
logging_output["_eer"] = metrics["eer"]
logging_output["_accuracy"] = metrics["accuracy"]
fairseq/tasks/audio_classification.py