 We need to read the aduio files as arrays def evaluate(batch):     inputs = processor(batch["speech"], sampling_rate=16_000, return_tensors="pt", padding=True)     with torch.no_grad():         logits = model(inputs.input_values.to("cuda"),          attention_mask=inputs.attention_mask.to("cuda")).logits         pred_ids = torch.argmax(logits, dim=-1)         batch["pred_strings"] = processor.batch_decode(pred_ids)         return batch  result = test_dataset.map(evaluate, batched=True, batch_size=8)  print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"]))) ```  **Test Result**: 23.55 %    