---
language:
- fr
tags:
- automatic-speech-recognition
- robust-speech-event
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: name: xls-r-300m-fr
  results: 
  -task: 
     name: Speech Recognition
     type: automatic-speech-recognition
   dataset:
     name: Common Voice 8.0 fr
     type: mozilla-foundation/common_voice_8_0
     args: fr
   metrics:
      - name: Test WER
        type: wer
        value: 21.58
  -task: 
     name: Speech Recognition
     type: automatic-speech-recognition
   dataset:
     name: dev_data
     type: speech-recognition-community-v2/dev_data
     args: fr
   metrics:
      - name: Validation WER
        type: wer
        value: 36.03   
---

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# 

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - FR dataset.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2700
- num_epochs: 1.0
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0