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Update README.md

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@@ -106,7 +106,7 @@ model = Wav2Vec2ForCTC.from_pretrained("MehdiHosseiniMoghadam/wav2vec2-large-xls
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  model.to("cuda")
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- chars_to_ignore_regex = '[\,\?\.\!\-\;\:\"\“\%\‘\”\�]'
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  resampler = torchaudio.transforms.Resample(48_000, 16_000)
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@@ -170,4 +170,8 @@ print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"],
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  ## Training
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- The Common Voice `train`, `validation` datasets were used for training.
 
 
 
 
 
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  model.to("cuda")
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+ chars_to_ignore_regex = '[\\,\\?\\.\\!\\-\\;\\:\\"\\“\\%\\‘\\”\\�]'
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  resampler = torchaudio.transforms.Resample(48_000, 16_000)
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  ## Training
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+ 10% of the Common Voice `train`, `validation` datasets were used for training.
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+ ## Testing
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+ 10% of the Common Voice `Test` dataset were used for training.