---
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: 0.3501
- Wer: 0.0432
- Per: 0.0327

## 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    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 8.1087        | 1.0   | 1637  | 3.1701          | 1.0    | 1.0    |
| 1.1869        | 2.0   | 3274  | 0.4045          | 0.0800 | 0.0646 |
| 0.2           | 3.0   | 4911  | 0.3260          | 0.0591 | 0.0464 |
| 0.1283        | 4.0   | 6548  | 0.3042          | 0.0618 | 0.0475 |
| 0.1037        | 5.0   | 8185  | 0.2727          | 0.0531 | 0.0410 |
| 0.0844        | 6.0   | 9822  | 0.3184          | 0.0543 | 0.0409 |
| 0.0738        | 7.0   | 11459 | 0.2886          | 0.0485 | 0.0366 |
| 0.0613        | 8.0   | 13096 | 0.3345          | 0.0488 | 0.0374 |
| 0.0573        | 9.0   | 14733 | 0.3469          | 0.0505 | 0.0394 |
| 0.0514        | 10.0  | 16370 | 0.3245          | 0.0510 | 0.0386 |
| 0.0469        | 11.0  | 18007 | 0.3094          | 0.0492 | 0.0374 |
| 0.0375        | 12.0  | 19644 | 0.3656          | 0.0521 | 0.0392 |
| 0.0356        | 13.0  | 21281 | 0.3296          | 0.0472 | 0.0356 |
| 0.0291        | 14.0  | 22918 | 0.3301          | 0.0448 | 0.0336 |
| 0.0242        | 15.0  | 24555 | 0.3575          | 0.0460 | 0.0357 |
| 0.0216        | 16.0  | 26192 | 0.3376          | 0.0443 | 0.0335 |
| 0.0208        | 17.0  | 27829 | 0.3688          | 0.0436 | 0.0332 |
| 0.018         | 18.0  | 29466 | 0.3673          | 0.0445 | 0.0340 |
| 0.0164        | 19.0  | 31103 | 0.3576          | 0.0432 | 0.0327 |
| 0.0128        | 20.0  | 32740 | 0.3501          | 0.0432 | 0.0327 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1