Yehor_w2v-xls-r-uk

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base_model: facebook/wav2vec2-xls-r-300m language:

• uk license: "apache-2.0" tags:
• automatic-speech-recognition datasets:
• mozilla-foundation/common_voice_10_0 metrics:
  • wer model-index:
  • name: w2v-xls-r-uk results:
    • task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: common_voice_10_0 type: common_voice_10_0 config: uk split: test args: uk metrics:
      • name: WER type: wer value: 20.24
      • name: CER type: cer value: 3.64

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🚨🚨🚨 ATTENTION! 🚨🚨🚨

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

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Community

• Discord: https://bit.ly/discord-uds
• Speech Recognition: https://t.me/speech_recognition_uk
• Speech Synthesis: https://t.me/speech_synthesis_uk

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 }
}