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--- |
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base_model: facebook/wav2vec2-xls-r-300m |
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language: |
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- uk |
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license: "apache-2.0" |
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tags: |
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- automatic-speech-recognition |
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datasets: |
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- mozilla-foundation/common_voice_10_0 |
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metrics: |
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- wer |
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model-index: |
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- name: w2v-xls-r-uk |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: common_voice_10_0 |
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type: common_voice_10_0 |
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config: uk |
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split: test |
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args: uk |
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metrics: |
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- name: WER |
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type: wer |
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value: 20.24 |
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- name: CER |
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type: cer |
|
value: 3.64 |
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--- |
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|
|
🚨🚨🚨 **ATTENTION!** 🚨🚨🚨 |
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|
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**Use an updated model**: https://huggingface.co/Yehor/w2v-bert-uk-v2.1 |
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|
|
--- |
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|
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## Community |
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|
|
- Discord: https://bit.ly/discord-uds |
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- Speech Recognition: https://t.me/speech_recognition_uk |
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- Speech Synthesis: https://t.me/speech_synthesis_uk |
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|
|
See other Ukrainian models: https://github.com/egorsmkv/speech-recognition-uk |
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|
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## Evaluation results |
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|
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Metrics (float16) using `evaluate` library with `batch_size=1`: |
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|
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- WER: 0.2024 metric, 20.24% |
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- CER: 0.0364 metric, 3.64% |
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- Accuracy on words: 79.76% |
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- Accuracy on chars: 96.36% |
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- Inference time: 63.4848 seconds |
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- Audio duration: 16665.5212 seconds |
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- RTF: 0.0038 |
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|
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## Cite this work |
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|
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``` |
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@misc {smoliakov_2025, |
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author = { {Smoliakov} }, |
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title = { w2v-xls-r-uk (Revision 55b6dc0) }, |
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year = 2025, |
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url = { https://huggingface.co/Yehor/w2v-xls-r-uk }, |
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doi = { 10.57967/hf/4556 }, |
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publisher = { Hugging Face } |
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} |
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``` |
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|
