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README.md
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@@ -31,6 +31,10 @@ This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://hug
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It achieves the following results on the evaluation set:
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- Wer: 0.0868
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- Cer: 0.0281
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## Model description
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More information needed
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It achieves the following results on the evaluation set:
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- Wer: 0.0868
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- Cer: 0.0281
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This model consists of a Wav2Vec2 model with an additional KenLM 5-gram language model for CTC decoding.
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The model is trained removing all characters that are not lower-case unaccented letters between `a-z` or the Spanish accented vowels `á`, `é`, `í`, `ó`, `ú` or the dieresis on the vowel `u` - `ü`.
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## Model description
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More information needed
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