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---
language:
- ar
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small - Arabic language
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. -->
# Whisper Small - Arabic language
This model is a fine-tuned version of [MohammadJamalaldeen/whisper-small-with-google-fleurs-ar-4000_steps](https://huggingface.co/MohammadJamalaldeen/whisper-small-with-google-fleurs-ar-4000_steps) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5364
- Wer: 23.5875
## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0071 | 3.8 | 1000 | 0.4950 | 25.4875 |
| 0.0003 | 7.6 | 2000 | 0.5170 | 23.8000 |
| 0.0001 | 11.41 | 3000 | 0.5300 | 23.6125 |
| 0.0001 | 15.21 | 4000 | 0.5364 | 23.5875 |
### Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.7.0
- Tokenizers 0.13.2
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