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Update README.md

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@@ -113,8 +113,10 @@ result = test_data.map(evaluate, batched=True, batch_size=8)
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  print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["text"])))
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  ```
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- **Test Result**: 19.05 %
 
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  **Test Result on OpenSLR test**: 14.15 % (157 examples)
 
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  **Test Results on InterSpeech test**: 27.14 % (157 examples)
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  ## Training
 
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  print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["text"])))
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  ```
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+ **Test Result**: 19.05 %
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+
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  **Test Result on OpenSLR test**: 14.15 % (157 examples)
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+
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  **Test Results on InterSpeech test**: 27.14 % (157 examples)
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  ## Training