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---
language:
- uk
license: mit
tags:
- whisper-event
datasets:
- Yehor/voa-uk-transcriptions
metrics:
- wer
model-index:
- name: Whisper Small Ukranian
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: mozilla-foundation/common_voice_10_0 uk
type: mozilla-foundation/common_voice_10_0
config: uk
split: test
args: uk
metrics:
- name: Wer
type: wer
value: 27
---
---
🇺🇦 Join Ukrainian Speech Recognition Community - https://t.me/speech_recognition_uk
⭐ See other Ukrainian models - https://github.com/egorsmkv/speech-recognition-uk
Code for fine-tuning: https://github.com/egorsmkv/whisper-ukrainian
Tests:
- WER: 27% (model quality is 73%)
The test with the original Whisper model is WER 30.57% (model quality is 69.43%)
Tests were with https://github.com/egorsmkv/cv10-uk-testset-clean
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