readme: ---
  language:
  - fr
  license: apache-2.0
  tags:
  - automatic-speech-recognition
  - mozilla-foundation/common_voice_8_0
  - fr
  - robust-speech-event
  datasets:
  - mozilla-foundation/common_voice_8_0
  model-index:
  - name: XLS-R-1B - French
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice 8
        type: mozilla-foundation/common_voice_8_0
        args: fr
      metrics:
      - name: Test WER (without LM)
        type: wer
        value: 15.405483405483405
      - name: Test CER (without LM)
        type: cer
        value: 4.877303022528913
      - name: Test WER (with LM)
        type: wer
        value: 12.5
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Robust Speech Event - Dev Data
        type: speech-recognition-community-v2/dev_data
        args: fr
      metrics:
      - name: Test WER
        type: wer
        value: 24.45
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Robust Speech Event - Test Data
        type: speech-recognition-community-v2/eval_data
        args: fr
      metrics:
      - name: Test WER
        type: wer
        value: 25.96
  ---
  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - FR dataset.
  It achieves the following results on the evaluation set:
  
  **Without LM**:
  - Wer: 0.154
  **With LM**:
  - Wer: 0.125