metadata
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 }
}