metadata
language:
- fr
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- fr
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: XLS-R-1B - French
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 8
type: mozilla-foundation/common_voice_8_0
args: fr
metrics:
- name: Test WER (without LM)
type: wer
value: 15.405483405483405
- name: Test CER (without LM)
type: cer
value: 4.877303022528913
- name: Test WER (with LM)
type: wer
value: 12.5
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - FR dataset. It achieves the following results on the evaluation set:
Without LM:
- Wer: 0.154 With LM:
- Wer: 0.125