|
--- |
|
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: 15.405483405483406 |
|
- name: Test CER (without LM) |
|
type: cer |
|
value: 4.8773030225289137 |
|
- name: Test WER (with LM) |
|
type: wer |
|
value: 12.5 |
|
--- |
|
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/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 |
