---
language:
- fr
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
model-index:
- name: acoustic_model0_cv_17_fr_XLSR-53
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# acoustic_model0_cv_17_fr_XLSR-53

This model was trained from scratch on the Common Voice 17 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.4810
- eval_wer: 0.3881
- eval_runtime: 167.4913
- eval_samples_per_second: 6.538
- eval_steps_per_second: 0.818
- epoch: 11.0465
- step: 1600

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1