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Update 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: 31.76
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  ---
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  # Wav2Vec2-Large-XLSR-53-Vietnamese
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  Fine-tuned [dragonSwing/wav2vec2-base-pretrain-vietnamese](https://huggingface.co/dragonSwing/wav2vec2-base-pretrain-vietnamese) on Vietnamese Speech Recognition task using 100h labelled data from [VSLP dataset](https://drive.google.com/file/d/1vUSxdORDxk-ePUt-bUVDahpoXiqKchMx/view?usp=sharing).
@@ -88,4 +88,4 @@ def evaluate(batch):
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  result = test_dataset.map(evaluate, batched=True, batch_size=1)
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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**: 31.76%
 
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  metrics:
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  - name: Test WER
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  type: wer
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+ value: 31.353591
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  ---
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  # Wav2Vec2-Large-XLSR-53-Vietnamese
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  Fine-tuned [dragonSwing/wav2vec2-base-pretrain-vietnamese](https://huggingface.co/dragonSwing/wav2vec2-base-pretrain-vietnamese) on Vietnamese Speech Recognition task using 100h labelled data from [VSLP dataset](https://drive.google.com/file/d/1vUSxdORDxk-ePUt-bUVDahpoXiqKchMx/view?usp=sharing).
 
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  result = test_dataset.map(evaluate, batched=True, batch_size=1)
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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**: 31.353591%