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README.md
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@@ -121,6 +121,8 @@ 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**: 7.53 %
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## Training
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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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WER without KenLM: 15.38 %
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WER With KenLM:
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**Test Result**: 7.53 %
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## Training
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