readme: ---
  language: 
    - uk
  license: "apache-2.0"
  datasets:
  - mozilla-foundation/common_voice_10_0
  ---
  
  🇺🇦 Join Ukrainian Speech Recognition Community - https://t.me/speech_recognition_uk
  
  ⭐ See other Ukrainian models - https://github.com/egorsmkv/speech-recognition-uk
  
  This model has apostrophes and hyphens.
  
  The language model is trained on the texts of the Common Voice dataset, which is used during training.
  
  Metrics:
  
  | Dataset | CER | WER |
  |-|-|-|
  | CV7 (no LM) |  0.0432 | 0.2288 |
  | CV7 (with LM) | 0.0169 | 0.0706 |
  | CV10 (no LM) | 0.0412 | 0.2206 |
  | CV10 (with LM) | 0.0118 | 0.0463 |
  
  More:
  
  - The same model, but trained on noisy data: https://huggingface.co/Yehor/wav2vec2-xls-r-300m-uk-with-small-lm-noisy
  - Traced JIT version: https://huggingface.co/Yehor/wav2vec2-xls-r-300m-uk-traced-jit
  