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  - pytorch
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  - wav2vec2
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  - wolof
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-xls-r-300m-wolof
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- This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the Common Voice 7.0 dataset.
 
 
 
 
 
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  It achieves the following results on the evaluation set:
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- - Loss:0.367826
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  - Wer: 0.212565
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  ## Model description
 
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  - pytorch
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  - wav2vec2
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  - wolof
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+ - wo
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-xls-r-300m-wolof
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+
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+ Wolof is a language spoken in Senegal and neighbouring countries, this language is not too well represented, there are few resources in the field of Text en speech
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+ In this sense we aim to bring our contribution to this, it is in this sense that enters this repo.
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) , that is trained with the largest available speech dataset of the [ALLFA project](https://github.com/besacier/ALFFA_PUBLIC/tree/master/ASR/WOLOF)
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+
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.367826
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  - Wer: 0.212565
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  ## Model description