>>> metric.update(preds, target)
            >>> fig_, ax_ = metric.plot()

        .. plot::
            :scale: 75

            >>> # Example plotting multiple values
            >>> from torchmetrics.text import MatchErrorRate
            >>> metric = MatchErrorRate()
            >>> preds = ["this is the prediction", "there is an other sample"]
            >>> target = ["this is the reference", "there is another one"]
            >>> values = [ ]
            >>> for _ in range(10):
            ...     values.append(metric(preds, target))
            >>> fig_, ax_ = metric.plot(values)

        )