---
license: apache-2.0
tags:
- 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 dataset.
It achieves the following results on the evaluation set:
- Loss: 21.9388
- 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 18.7839       | 0.5   | 1    | 32.5547         | 1.0 |
| 19.4045       | 1.0   | 2    | 32.5547         | 1.0 |
| 19.6279       | 1.5   | 3    | 31.8850         | 1.0 |
| 17.7216       | 2.0   | 4    | 31.1082         | 1.0 |
| 17.3103       | 2.5   | 5    | 31.1082         | 1.0 |
| 17.2026       | 3.0   | 6    | 29.9666         | 1.0 |
| 16.7911       | 3.5   | 7    | 28.5444         | 1.0 |
| 13.7364       | 4.0   | 8    | 25.7932         | 1.0 |
| 13.1602       | 4.5   | 9    | 23.4634         | 1.0 |
| 12.9439       | 5.0   | 10   | 21.9388         | 1.0 |


### Framework versions

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