---
library_name: transformers
base_model: whisper-base-ar-quran
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: whisper-base-ar-quran-ft-hijaiyah
  results: []
---

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# whisper-base-ar-quran-ft-hijaiyah

This model is a fine-tuned version of [whisper-base-ar-quran](https://huggingface.co/whisper-base-ar-quran) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1638
- Accuracy: 0.9802

## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3043        | 1.0   | 2266  | 0.7745          | 0.8075   |
| 0.9065        | 2.0   | 4532  | 0.7729          | 0.8671   |
| 0.7332        | 3.0   | 6798  | 0.6099          | 0.9028   |
| 0.2412        | 4.0   | 9064  | 0.4158          | 0.9345   |
| 0.6118        | 5.0   | 11330 | 0.4587          | 0.9385   |
| 0.0001        | 6.0   | 13596 | 0.2835          | 0.9603   |
| 0.0003        | 7.0   | 15862 | 0.2181          | 0.9643   |
| 0.0001        | 8.0   | 18128 | 0.2006          | 0.9683   |
| 0.0001        | 9.0   | 20394 | 0.1962          | 0.9722   |
| 0.0           | 10.0  | 22660 | 0.1638          | 0.9802   |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3