updated readme
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README.md
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@@ -23,7 +23,7 @@ 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: 19.
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---
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# Wav2Vec2-Large-XLSR-Indonesian
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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**: 19.
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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: 19.36
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---
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# Wav2Vec2-Large-XLSR-Indonesian
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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**: 19.36 %
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## Training
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