---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: mascir_fr_wav2vec_test
  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. -->

# mascir_fr_wav2vec_test

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0136
- Wer: 0.1612

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 8.06  | 250  | 3.7503          | 0.9919 |
| 8.0637        | 16.13 | 500  | 3.0132          | 0.9919 |
| 8.0637        | 24.19 | 750  | 2.9734          | 0.9919 |
| 2.9339        | 32.26 | 1000 | 2.0538          | 0.9963 |
| 2.9339        | 40.32 | 1250 | 0.4530          | 0.5406 |
| 0.9878        | 48.39 | 1500 | 0.1807          | 0.3373 |
| 0.9878        | 56.45 | 1750 | 0.0814          | 0.2436 |
| 0.3416        | 64.52 | 2000 | 0.0512          | 0.2114 |
| 0.3416        | 72.58 | 2250 | 0.0292          | 0.1823 |
| 0.1952        | 80.65 | 2500 | 0.0198          | 0.1742 |
| 0.1952        | 88.71 | 2750 | 0.0158          | 0.1631 |
| 0.1476        | 96.77 | 3000 | 0.0136          | 0.1612 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3