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---
language:
- ar
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
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. -->
#
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - AR dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1373
- Wer: 0.8607
## 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: 6.5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 30.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 2.2416 | 0.84 | 500 | 1.2867 | 0.8875 |
| 2.3089 | 1.67 | 1000 | 1.8336 | 0.9548 |
| 2.3614 | 2.51 | 1500 | 1.5937 | 0.9469 |
| 2.5234 | 3.35 | 2000 | 1.9765 | 0.9867 |
| 2.5373 | 4.19 | 2500 | 1.9062 | 0.9916 |
| 2.5703 | 5.03 | 3000 | 1.9772 | 0.9915 |
| 2.4656 | 5.86 | 3500 | 1.8083 | 0.9829 |
| 2.4339 | 6.7 | 4000 | 1.7548 | 0.9752 |
| 2.344 | 7.54 | 4500 | 1.6146 | 0.9638 |
| 2.2677 | 8.38 | 5000 | 1.5105 | 0.9499 |
| 2.2074 | 9.21 | 5500 | 1.4191 | 0.9357 |
| 2.3768 | 10.05 | 6000 | 1.6663 | 0.9665 |
| 2.3804 | 10.89 | 6500 | 1.6571 | 0.9720 |
| 2.3237 | 11.72 | 7000 | 1.6049 | 0.9637 |
| 2.317 | 12.56 | 7500 | 1.5875 | 0.9655 |
| 2.2988 | 13.4 | 8000 | 1.5357 | 0.9603 |
| 2.2906 | 14.24 | 8500 | 1.5637 | 0.9592 |
| 2.2848 | 15.08 | 9000 | 1.5326 | 0.9537 |
| 2.2381 | 15.91 | 9500 | 1.5631 | 0.9508 |
| 2.2072 | 16.75 | 10000 | 1.4565 | 0.9395 |
| 2.197 | 17.59 | 10500 | 1.4304 | 0.9406 |
| 2.198 | 18.43 | 11000 | 1.4230 | 0.9382 |
| 2.1668 | 19.26 | 11500 | 1.3998 | 0.9315 |
| 2.1498 | 20.1 | 12000 | 1.3920 | 0.9258 |
| 2.1244 | 20.94 | 12500 | 1.3584 | 0.9153 |
| 2.0953 | 21.78 | 13000 | 1.3274 | 0.9054 |
| 2.0762 | 22.61 | 13500 | 1.2933 | 0.9073 |
| 2.0587 | 23.45 | 14000 | 1.2516 | 0.8944 |
| 2.0363 | 24.29 | 14500 | 1.2214 | 0.8902 |
| 2.0302 | 25.13 | 15000 | 1.2087 | 0.8871 |
| 2.0071 | 25.96 | 15500 | 1.1953 | 0.8786 |
| 1.9882 | 26.8 | 16000 | 1.1738 | 0.8712 |
| 1.9772 | 27.64 | 16500 | 1.1647 | 0.8672 |
| 1.9585 | 28.48 | 17000 | 1.1459 | 0.8635 |
| 1.944 | 29.31 | 17500 | 1.1414 | 0.8616 |
### 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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