---
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).
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