---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- automatic-speech-recognition
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xlsr-53-ft-btb-cv-cy-cand
  results: []
datasets:
- techiaith/commonvoice_18_0_cy
- techiaith/banc-trawsgrifiadau-bangor
language:
- cy
pipeline_tag: automatic-speech-recognition
---

# wav2vec2-xlsr-53-ft-btb-cv-cy

This model is a version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) 
fine-tuned on Welsh language read-speech from [commonvoice_18_cy](https://huggingface.co/datasets/techiaith/commonvoice_18_0_cy) 
and spontaneous speech from [Bangor Transcriptions 24.10](https://huggingface.co/datasets/techiaith/banc-trawsgrifiadau-bangor/tree/24.10)

It achieves the following WER results on the Bangor Transcriptions test set:

- WER: 36.23
- CER: 12.55