w2v-xls-r-uk / README.md
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metadata
base_model: facebook/wav2vec2-xls-r-300m
language:
  - uk
license: apache-2.0
tags:
  - automatic-speech-recognition
datasets:
  - mozilla-foundation/common_voice_10_0
metrics:
  - wer
model-index:
  - name: w2v-xls-r-uk
    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: 0.0463

🚨🚨🚨 ATTENTION! 🚨🚨🚨

Use an updated model: https://huggingface.co/Yehor/w2v-bert-uk-v2.1


Community

Overview

This model has apostrophes and hyphens.

The language model is trained on the texts of the Common Voice dataset, which is used during training.

Metrics:

Dataset CER WER
CV7 (no LM) 0.0432 0.2288
CV7 (with LM) 0.0169 0.0706
CV10 (no LM) 0.0412 0.2206
CV10 (with LM) 0.0118 0.0463