---
library_name: transformers
language:
- ar
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper tiny AR - BH
  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 tiny AR - BH

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the quran-ayat-speech-to-text dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0244
- Wer: 0.1485
- Cer: 0.0491

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
| 0.0508        | 1.0     | 157  | 0.0447          | 2.1609 | 0.9033 |
| 0.0294        | 2.0     | 314  | 0.0286          | 1.9660 | 1.0025 |
| 0.0226        | 3.0     | 471  | 0.0254          | 0.4391 | 0.1838 |
| 0.0147        | 4.0     | 628  | 0.0224          | 0.3542 | 0.1358 |
| 0.0129        | 5.0     | 785  | 0.0213          | 0.5243 | 0.2350 |
| 0.0091        | 6.0     | 942  | 0.0199          | 0.3001 | 0.1045 |
| 0.0065        | 7.0     | 1099 | 0.0196          | 0.2268 | 0.0728 |
| 0.0043        | 8.0     | 1256 | 0.0196          | 0.2011 | 0.0645 |
| 0.003         | 9.0     | 1413 | 0.0201          | 0.2885 | 0.1164 |
| 0.003         | 10.0    | 1570 | 0.0209          | 0.3251 | 0.1150 |
| 0.0016        | 11.0    | 1727 | 0.0207          | 0.1828 | 0.0607 |
| 0.0009        | 12.0    | 1884 | 0.0209          | 0.1747 | 0.0537 |
| 0.0007        | 13.0    | 2041 | 0.0211          | 0.1680 | 0.0517 |
| 0.0005        | 14.0    | 2198 | 0.0218          | 0.1652 | 0.0504 |
| 0.0003        | 15.0    | 2355 | 0.0211          | 0.1580 | 0.0496 |
| 0.0002        | 16.0    | 2512 | 0.0216          | 0.1566 | 0.0487 |
| 0.0001        | 17.0    | 2669 | 0.0224          | 0.1562 | 0.0492 |
| 0.0           | 18.0    | 2826 | 0.0227          | 0.1481 | 0.0454 |
| 0.0           | 19.0    | 2983 | 0.0239          | 0.1471 | 0.0489 |
| 0.0           | 19.8768 | 3120 | 0.0237          | 0.1461 | 0.0462 |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0