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  datasets:
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  - common_voice
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  model-index:
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- - name: wav2vec2-large-xls-r-300m-cv7-nl
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  results: []
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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-large-xls-r-300m-cv7-nl
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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 dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.1755
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- - Wer: 0.1362
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  ## Model description
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- More information needed
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  ## Intended uses & limitations
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  datasets:
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  - common_voice
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  model-index:
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+ - name: wav2vec2-large-xls-r-300m-cv8-nl
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  results: []
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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-large-xls-r-300m-cv8-nl
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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 dataset.
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+ It achieves the following results on the testset of commonvoice:
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+ - Loss: 0.1755 TBF
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+ - Wer: TBF
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  ## Model description
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+ The model was trained on Dutch common voice 8. The train set consisted of the common voice train set and evaluation set was the common voice validation set. The WER reported is on the common voice test set which was no part of training nor validation
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  ## Intended uses & limitations
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