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Merge branch 'main' of https://huggingface.co/AigizK/wav2vec2-large-xls-r-300m-bashkir-cv7_opt into main

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  1. README.md +6 -4
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  metrics:
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  - name: Test WER
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  type: wer
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- value: 9.2451
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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
@@ -32,9 +32,11 @@ should probably proofread and complete it, then remove this comment. -->
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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 MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - BA dataset.
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  It achieves the following results on the evaluation set:
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- - Training Loss: 0.307100
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- - Validation Loss: 0.118680
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- - Wer: 0.092451
 
 
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  ## Model description
 
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  metrics:
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  - name: Test WER
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  type: wer
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+ value: 0.04688827226909791
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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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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - BA dataset.
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  It achieves the following results on the evaluation set:
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+ - Training Loss: 0.268400
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+ - Validation Loss: 0.088252
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+ - WER without LM: 0.085588
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+ - WER with LM: 0.04688827226909791
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+ - CER with LM: 0.01121871653232625
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  ## Model description