Automatic Speech Recognition
Transformers
Safetensors
Ukrainian
wav2vec2
Eval Results

🚨🚨🚨 ATTENTION! 🚨🚨🚨

Use an updated model: https://huggingface.co/Yehor/w2v-bert-uk-v2.1


Community

See other Ukrainian models: https://github.com/egorsmkv/speech-recognition-uk

Evaluation results

Metrics (float16) using evaluate library with batch_size=1:

  • WER: 0.2024 metric, 20.24%
  • CER: 0.0364 metric, 3.64%
  • Accuracy on words: 79.76%
  • Accuracy on chars: 96.36%
  • Inference time: 63.4848 seconds
  • Audio duration: 16665.5212 seconds
  • RTF: 0.0038

Cite this work

@misc {smoliakov_2025,
    author       = { {Smoliakov} },
    title        = { w2v-xls-r-uk (Revision 55b6dc0) },
    year         = 2025,
    url          = { https://huggingface.co/Yehor/w2v-xls-r-uk },
    doi          = { 10.57967/hf/4556 },
    publisher    = { Hugging Face }
}
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