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  1. README.md +2 -2
README.md CHANGED
@@ -21,7 +21,7 @@ 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: 22.27
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  ---
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  # Wav2Vec2-Large-XLSR-53-euskera
@@ -114,7 +114,7 @@ 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**: 22.27 %
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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: 18.20
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  ---
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  # Wav2Vec2-Large-XLSR-53-euskera
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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**: 18.20 %
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  ## Training