fix md file to avoid evaluation crash (#10962)
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@@ -349,7 +349,7 @@ def speech_file_to_array_fn(batch):
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return batch
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return batch
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test_dataset = test_dataset.map(speech_file_to_array_fn)
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test_dataset = test_dataset.map(speech_file_to_array_fn)
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inputs = processor(test_dataset["speech"][:2], sampling_rate=16_000, return_tensors="pt", padding=True)
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inputs = processor(test_dataset[:2]["speech"], sampling_rate=16_000, return_tensors="pt", padding=True)
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with torch.no_grad():
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with torch.no_grad():
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logits = model(inputs.input_values, attention_mask=inputs.attention_mask).logits
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logits = model(inputs.input_values, attention_mask=inputs.attention_mask).logits
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@@ -357,7 +357,7 @@ with torch.no_grad():
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predicted_ids = torch.argmax(logits, dim=-1)
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predicted_ids = torch.argmax(logits, dim=-1)
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print("Prediction:", processor.batch_decode(predicted_ids))
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print("Prediction:", processor.batch_decode(predicted_ids))
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print("Reference:", test_dataset["sentence"][:2])
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print("Reference:", test_dataset[:2]["sentence"])
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```
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```
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