chunk_content: = np.where(labels != -100, labels, tokenizer.pad_token_id)
              decoded_preds = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
              decoded_labels = tokenizer.batch_decode(labels, skip_special_tokens=True)
              metric.add_batch(
                  predictions=decoded_preds,
                  references=decoded_labels,
              )
      del generated_tokens, labels, batch
      gc.collect()
  wer = 100 * metric.co