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@@ -22,6 +22,19 @@ model-index:
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  - name: Wer
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  type: wer
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  value: 0.14290815597771747
 
 
 
 
 
 
 
 
 
 
 
 
 
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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
@@ -33,6 +46,8 @@ This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggi
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2131
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  - Wer: 0.1429
 
 
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  ## Model description
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  - name: Wer
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  type: wer
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  value: 0.14290815597771747
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: common_voice_8_0
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+ type: common_voice_8_0
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+ config: fy-NL
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+ split: test
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+ args: fy-NL
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 0.1413499060557884
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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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  It achieves the following results on the evaluation set:
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  - Loss: 0.2131
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  - Wer: 0.1429
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+ And on the test set:
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+ - Wer: 0.1413
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  ## Model description
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