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@@ -21,11 +21,11 @@ model-index:
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  args: fr
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  metrics:
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  - name: Wer
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- type: wer
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- value: 15.89689189275029
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- - name: Wer norm
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  type: wer
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  value: 11.1406
 
 
 
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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
@@ -36,8 +36,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the common_voice_11_0 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2664
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- - Wer: 15.8969
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- - Wer Norm (Normalized Wer): **11.1406**
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  ## New SOTA
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  args: fr
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  metrics:
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  - name: Wer
 
 
 
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  type: wer
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  value: 11.1406
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+ - name: Wer (without normalization)
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+ type: wer_without_norm
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+ value: 15.89689189275029
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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 [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the common_voice_11_0 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2664
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+ - Wer (without normalization): 15.8969
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+ - Wer (with normalization): **11.1406**
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  ## New SOTA
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