def show_top_losses(self, k:int, max_len:int=70)->None:
        """
        Create a tabulation showing the first `k` texts in top_losses along with their prediction, actual,loss, and probability of
        actual class. `max_len` is the maximum number of tokens displayed.
        """
        from IPython.display import display, HTML
        items = []
        tl_val,tl_idx = self.top_losses()
        for i,idx in enumerate(tl_idx):
            if k <= 0: break
            k -= 1
            tx,cl = self.data.dl(self.ds_type).dataset[idx]
            cl = cl.data
            classes = self.data.classes
            txt = ' '.join(tx.text.split(' ')[:max_len]) if max_len is not None else tx.text
            tmp = [txt, f'{classes[self.pred_class[idx]]}', f'{classes[cl]}', f'{self.losses[idx]:.2f}',
                   f'{self.probs[idx][cl]:.2f}']
            items.append(tmp)
        items = np.array(items)
        names = ['Text', 'Prediction', 'Actual', 'Loss', 'Probability']
        df = pd.DataFrame({n:items[:,i] for i,n in enumerate(names)}, columns=names)
        with pd.option_context('display.max_colwidth', -1):
            display(HTML(df.to_html(index=False)))
Create a tabulation showing the first `k` texts in top_losses along with their prediction, actual,loss, and probability of
        actual class. `max_len` is the maximum number of tokens displayed.