def METHOD_NAME(eval_preds, tokenizer):
    all_preds = []
    all_labels = []
    labels = eval_preds.label_ids
    preds = eval_preds.predictions
    all_preds.extend(tokenizer.batch_decode(preds, skip_special_tokens=True, clean_up_tokenization_spaces=False))
    labels = np.where(labels != -100, labels, tokenizer.pad_token_id)
    all_labels.extend(tokenizer.batch_decode(labels, skip_special_tokens=True, clean_up_tokenization_spaces=False))
    rougel = compute_metrics(all_preds, all_labels)
    return {"RougeL": rougel}