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---
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
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