---
language:
- ar
license: apache-2.0
base_model: tarteel-ai/whisper-base-ar-quran
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Small Ar - raghad
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Zolfa Dataset
      type: mozilla-foundation/common_voice_11_0
      args: 'config: ar, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 10.344827586206897
---

<!-- 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 Ar - raghad

This model is a fine-tuned version of [tarteel-ai/whisper-base-ar-quran](https://huggingface.co/tarteel-ai/whisper-base-ar-quran) on the Zolfa Dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0195
- Wer: 10.3448

## 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: 16
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0045        | 1.0   | 21   | 0.0047          | 0.0     |
| 0.0015        | 2.0   | 42   | 0.0220          | 10.3448 |
| 0.0012        | 3.0   | 63   | 0.0223          | 10.3448 |
| 0.0006        | 4.0   | 84   | 0.0161          | 10.3448 |
| 0.0004        | 5.0   | 105  | 0.0199          | 10.3448 |
| 0.0003        | 6.0   | 126  | 0.0187          | 10.3448 |
| 0.0002        | 7.0   | 147  | 0.0181          | 10.3448 |
| 0.0003        | 8.0   | 168  | 0.0195          | 10.3448 |
| 0.0002        | 9.0   | 189  | 0.0193          | 10.3448 |
| 0.0002        | 10.0  | 210  | 0.0195          | 10.3448 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1