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Update README.md

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@@ -24,12 +24,15 @@ model-index:
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  - name: Wer
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  type: wer
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  value: 0.3262315072590479
 
 
 
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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-xlsr-ft-btb
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  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the TECHIAITH/BANC-TRAWSGRIFIADAU-BANGOR - NA dataset.
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  It achieves the following results on the evaluation set:
@@ -100,4 +103,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.28.1
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  - Pytorch 2.0.0+cu117
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  - Datasets 2.11.0
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- - Tokenizers 0.13.3
 
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  - name: Wer
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  type: wer
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  value: 0.3262315072590479
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+ language:
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+ - cy
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+ pipeline_tag: automatic-speech-recognition
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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-xlsr-ft-cy-verbatim
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  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the TECHIAITH/BANC-TRAWSGRIFIADAU-BANGOR - NA dataset.
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  It achieves the following results on the evaluation set:
 
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  - Transformers 4.28.1
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  - Pytorch 2.0.0+cu117
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  - Datasets 2.11.0
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+ - Tokenizers 0.13.3