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Update README.md

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@@ -24,7 +24,7 @@ model-index:
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  metrics:
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  - name: Test WER
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  type: wer
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- value: 40.124309
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  ---
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  # Wav2Vec2-Large-XLSR-53-Vietnamese
@@ -118,7 +118,7 @@ result = test_dataset.map(evaluate, batched=True, batch_size=8)
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  print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"])))
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  ```
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- **Test Result**: 40.124309%
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  ## Training
 
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  metrics:
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  - name: Test WER
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  type: wer
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+ value: 39.571823
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  ---
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  # Wav2Vec2-Large-XLSR-53-Vietnamese
 
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  print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"])))
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  ```
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+ **Test Result**: 39.571823%
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  ## Training