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  1. README.md +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ 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: 16.22
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  ---
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  # Wav2Vec2-Large-XLSR-53-German
@@ -140,7 +140,7 @@ 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**: 16.22 %
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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: 15.93
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  ---
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  # Wav2Vec2-Large-XLSR-53-German
 
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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**: 15.93 %
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  ## Training