readme: ---
  language: pa
  #datasets:
  #- Interspeech 2021
  metrics:
  - wer
  tags:
  - audio
  - automatic-speech-recognition
  - speech
  license: mit
  model-index:
  - name: Wav2Vec2 Vakyansh Punjabi Model by Harveen Chadha
    results:
    - task:
        name: Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice hi
        type: common_voice
        args: pa
      metrics:
      - name: Test WER
        type: wer
        value: 33.17
  ---
  
  Fine-tuned on Multilingual Pretrained Model [CLSRIL-23](https://arxiv.org/abs/2107.07402). The original fairseq checkpoint is present [here](https://github.com/Open-Speech-EkStep/vakyansh-models). When using this model, make sure that your speech input is sampled at 16kHz.
  **Note: The result from this model is without a language model so you may witness a higher WER in some cases.**
  