readme: ---
  language:
  - da
  license: apache-2.0
  tasks:
  - automatic-speech-recognition
  datasets:
  - common_voice_8_0
  metrics:
  - wer
  model-index:
  - name: wav2vec2-xls-r-300m-cv8-da
    results:
    - task: 
        type: automatic-speech-recognition
      dataset:
        type: mozilla-foundation/common_voice_8_0
        args: da
        name: Danish Common Voice 8.0
      metrics:
        - type: wer
          value: 26.45
    - task: 
        type: automatic-speech-recognition
      dataset:
        type: Alvenir/alvenir_asr_da_eval
        name: Alvenir ASR test dataset
      metrics:
        - type: wer
          value: 25.80
  ---
  
  # XLS-R-300m-CV8-da
  
  ## Model description
  
  This model is a fine-tuned version of the multilingual acoustic model [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the Danish part of [Common Voice 8.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0), containing ~6 crowdsourced hours of read-aloud Danish speech.
  
  
  ## Performance
  
  The model achieves the following WER scores (lower is better):
  
  | **Dataset** | **WER without LM** | **WER with 5-gram LM** |
  | :---:   | ---: | ---: |
  | [Danish part of Common Voice 8.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0/viewer/da/train) | 31.33 | 26.45 |
  | [Alvenir test set](https://huggingface.co/datasets/Alvenir/alvenir_asr_da_eval) | 30.54 | 25.80 |