---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- common_voice
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-xls-r-300m-ar
  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. -->

# wav2vec2-xls-r-300m-ar

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the COMMON_VOICE - AR dataset.
It achieves the following results on the evaluation set:
- Loss: 6.9375
- Wer: 1.0

## 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: 7.5e-05
- 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
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 19.0933       | 1.0   | 2    | 32.5547         | 1.0 |
| 18.6757       | 2.0   | 4    | 31.0408         | 1.0 |
| 17.1649       | 3.0   | 6    | 29.5776         | 1.0 |
| 14.7415       | 4.0   | 8    | 22.9183         | 1.0 |
| 11.8071       | 5.0   | 10   | 17.5073         | 1.0 |
| 9.7675        | 6.0   | 12   | 14.1743         | 1.0 |
| 8.4193        | 7.0   | 14   | 12.1225         | 1.0 |
| 7.4746        | 8.0   | 16   | 10.7446         | 1.0 |
| 6.8442        | 9.0   | 18   | 9.7949          | 1.0 |
| 6.3765        | 10.0  | 20   | 9.1148          | 1.0 |
| 6.0321        | 11.0  | 22   | 8.5934          | 1.0 |
| 5.7783        | 12.0  | 24   | 8.1983          | 1.0 |
| 5.5827        | 13.0  | 26   | 7.8780          | 1.0 |
| 5.4249        | 14.0  | 28   | 7.6288          | 1.0 |
| 5.3088        | 15.0  | 30   | 7.4279          | 1.0 |
| 5.2078        | 16.0  | 32   | 7.2688          | 1.0 |
| 5.1289        | 17.0  | 34   | 7.1459          | 1.0 |
| 5.0697        | 18.0  | 36   | 7.0528          | 1.0 |
| 5.0227        | 19.0  | 38   | 6.9835          | 1.0 |
| 4.9853        | 20.0  | 40   | 6.9375          | 1.0 |


### Framework versions

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