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@@ -12,7 +12,7 @@ datasets:
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  model-index:
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  - name: wav2vec2-xls-r-1b-hy-cv
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  results:
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- - task:
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  type: automatic-speech-recognition
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  name: Speech Recognition
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  dataset:
@@ -20,12 +20,34 @@ model-index:
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  name: Common Voice uk
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  args: uk
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  metrics:
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- - type: wer
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- value: 12.246920571994903
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- name: WER LM
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- - type: cer
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- value: 2.513653497966816
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- name: CER LM
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  model-index:
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  - name: wav2vec2-xls-r-1b-hy-cv
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  results:
15
+ - task:
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  type: automatic-speech-recognition
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  name: Speech Recognition
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  dataset:
 
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  name: Common Voice uk
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  args: uk
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  metrics:
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+ - type: wer
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+ value: 12.246920571994902
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+ name: WER LM
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+ - type: cer
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+ value: 2.513653497966816
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+ name: CER LM
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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: Robust Speech Event - Dev Data
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+ type: speech-recognition-community-v2/dev_data
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+ args: uk
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 46.56
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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: Robust Speech Event - Test Data
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+ type: speech-recognition-community-v2/eval_data
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+ args: uk
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 35.98
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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