wietsedv commited on
Commit
be3c679
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1 Parent(s): 9c8fad3

Fix character whitelist

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  1. README.md +3 -3
README.md CHANGED
@@ -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: 17.17
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  ---
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  # Wav2Vec2-Large-XLSR-53-Dutch
@@ -87,7 +87,7 @@ processor = Wav2Vec2Processor.from_pretrained("wietsedv/wav2vec2-large-xlsr-53-d
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  model = Wav2Vec2ForCTC.from_pretrained("wietsedv/wav2vec2-large-xlsr-53-dutch")
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  model.to("cuda")
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- chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\β€œ\%\β€˜\”]'
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  resampler = torchaudio.transforms.Resample(48_000, 16_000)
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  # Preprocessing the datasets.
@@ -117,7 +117,7 @@ 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**: 17.17 %
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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: 17.09
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  ---
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  # Wav2Vec2-Large-XLSR-53-Dutch
 
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  model = Wav2Vec2ForCTC.from_pretrained("wietsedv/wav2vec2-large-xlsr-53-dutch")
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  model.to("cuda")
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+ chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\'\β€œ\%\β€˜\”]'
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  resampler = torchaudio.transforms.Resample(48_000, 16_000)
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  # Preprocessing the datasets.
 
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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**: 17.09 %
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  ## Training