---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec_arabic_mdd
  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. -->

# wav2vec_arabic_mdd

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3192
- Wer: 0.0429
- Per: 0.0326

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    | Per    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 8.6256        | 1.0   | 1617  | 3.2158          | 1.0    | 1.0    |
| 1.3467        | 2.0   | 3234  | 0.3775          | 0.0753 | 0.0605 |
| 0.1996        | 3.0   | 4851  | 0.3054          | 0.0561 | 0.0421 |
| 0.1311        | 4.0   | 6468  | 0.3120          | 0.0507 | 0.0387 |
| 0.1044        | 5.0   | 8085  | 0.3169          | 0.0507 | 0.0386 |
| 0.0891        | 6.0   | 9702  | 0.3030          | 0.0496 | 0.0372 |
| 0.0788        | 7.0   | 11319 | 0.3174          | 0.0520 | 0.0391 |
| 0.0619        | 8.0   | 12936 | 0.3312          | 0.0546 | 0.0417 |
| 0.0552        | 9.0   | 14553 | 0.3353          | 0.0480 | 0.0358 |
| 0.0493        | 10.0  | 16170 | 0.2742          | 0.0452 | 0.0336 |
| 0.0417        | 11.0  | 17787 | 0.2894          | 0.0459 | 0.0355 |
| 0.0382        | 12.0  | 19404 | 0.2949          | 0.0463 | 0.0350 |
| 0.0306        | 13.0  | 21021 | 0.3041          | 0.0472 | 0.0348 |
| 0.03          | 14.0  | 22638 | 0.3109          | 0.0453 | 0.0339 |
| 0.0244        | 15.0  | 24255 | 0.3234          | 0.0448 | 0.0335 |
| 0.0215        | 16.0  | 25872 | 0.3321          | 0.0436 | 0.0332 |
| 0.0182        | 17.0  | 27489 | 0.3367          | 0.0420 | 0.0315 |
| 0.0171        | 18.0  | 29106 | 0.3317          | 0.0430 | 0.0328 |
| 0.0155        | 19.0  | 30723 | 0.3249          | 0.0423 | 0.0321 |
| 0.0132        | 20.0  | 32340 | 0.3192          | 0.0429 | 0.0326 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1