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@@ -8,6 +8,10 @@ metrics:
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  model-index:
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  - name: wav2vec2-xls-r-300m-breton
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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
@@ -15,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-xls-r-300m-breton
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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 None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.9939
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  - Wer: 0.4680
@@ -80,4 +84,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.16.0
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- - Tokenizers 0.15.0
 
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  model-index:
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  - name: wav2vec2-xls-r-300m-breton
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  results: []
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+ datasets:
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+ - mozilla-foundation/common_voice_15_0
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+ language:
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+ - br
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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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  # wav2vec2-xls-r-300m-breton
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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 CommonVoice15-breton dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.9939
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  - Wer: 0.4680
 
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  - Transformers 4.35.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.16.0
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+ - Tokenizers 0.15.0