---
base_model: facebook/w2v-bert-2.0
library_name: transformers
language: 
  - uk
license: "apache-2.0"
task_categories:
- automatic-speech-recognition
tags:
- audio
datasets:
  - Yehor/openstt-uk
metrics:
  - wer
model-index:
  - name: w2v-bert-uk-v2.1
    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: 17.34
          - name: CER
            type: cer
            value: 3.33
---

# w2v-bert-uk `v2.1`


## 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

## Overview

This is the model - https://huggingface.co/Yehor/w2v-bert-uk-v2.1 - where tensors are saved in BF16 format.

## Cite this work

```
@misc {smoliakov_2025,
	author       = { {Smoliakov} },
	title        = { w2v-bert-uk-v2.1 (Revision 094c59d) },
	year         = 2025,
	url          = { https://huggingface.co/Yehor/w2v-bert-uk-v2.1 },
	doi          = { 10.57967/hf/4554 },
	publisher    = { Hugging Face }
}
```