README.md

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

Overview

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

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