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@@ -10,7 +10,21 @@ datasets:
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  - common_voice
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  model-index:
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  - name: ''
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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
@@ -19,9 +33,15 @@ should probably proofread and complete it, then remove this comment. -->
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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) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - MR dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.5951
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- - Wer: 0.5435
 
 
 
 
 
 
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  ## Model description
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  - common_voice
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  model-index:
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  - name: ''
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+ results:
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+ - task:
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+ type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
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+ dataset:
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+ name: Common Voice Corpus 8.0
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+ type: mozilla-foundation/common_voice_8_0
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+ args: mr
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 38.27
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+ - name: Test CER
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+ type: cer
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+ value: 8.91
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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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  #
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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_8_0 - MR dataset.
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+ It achieves the following results on the mozilla-foundation/common_voice_8_0 mr test set:
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+
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+ - Without LM
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+ + WER: 48.53
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+ + CER: 10.63
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+
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+ - With LM
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+ + WER: 38.27
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+ + CER: 8.91
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  ## Model description
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