readme: ---
  language:
  - uk
  license: mit
  tags:
  - whisper-event
  datasets:
  - Yehor/voa-uk-transcriptions
  metrics:
  - wer
  model-index:
  - name: Whisper Small Ukranian
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: mozilla-foundation/common_voice_10_0 uk
        type: mozilla-foundation/common_voice_10_0
        config: uk
        split: test
        args: uk
      metrics:
      - name: Wer
        type: wer
        value: 27
  ---
  ---
  
  🇺🇦 Join Ukrainian Speech Recognition Community - https://t.me/speech_recognition_uk
  
  ⭐ See other Ukrainian models - https://github.com/egorsmkv/speech-recognition-uk
  
  Code for fine-tuning: https://github.com/egorsmkv/whisper-ukrainian
  
  Tests:
  
  - WER: 27% (model quality is 73%)
  
  The test with the original Whisper model is WER 30.57% (model quality is 69.43%)
  
  Tests were with https://github.com/egorsmkv/cv10-uk-testset-clean
  