---
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: 0.0061
- Wer: 0.0788
- Cer: 0.0318

## 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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.008         | 1.0   | 469  | 0.0055          | 0.0719 | 0.0275 |
| 0.0064        | 2.0   | 938  | 0.0054          | 0.0776 | 0.0285 |
| 0.0047        | 3.0   | 1407 | 0.0056          | 0.0711 | 0.0268 |
| 0.0046        | 4.0   | 1876 | 0.0059          | 0.0740 | 0.0275 |
| 0.0026        | 5.0   | 2345 | 0.0062          | 0.0726 | 0.0262 |
| 0.0018        | 6.0   | 2814 | 0.0066          | 0.0749 | 0.0299 |
| 0.001         | 7.0   | 3283 | 0.0070          | 0.0762 | 0.0293 |
| 0.001         | 8.0   | 3752 | 0.0074          | 0.0776 | 0.0306 |
| 0.0005        | 9.0   | 4221 | 0.0077          | 0.0766 | 0.0299 |
| 0.0007        | 10.0  | 4690 | 0.0079          | 0.0760 | 0.0305 |
| 0.0004        | 11.0  | 5159 | 0.0082          | 0.0766 | 0.0300 |
| 0.0002        | 12.0  | 5628 | 0.0084          | 0.0775 | 0.0310 |
| 0.0001        | 13.0  | 6097 | 0.0085          | 0.0755 | 0.0295 |
| 0.0001        | 14.0  | 6566 | 0.0100          | 0.0935 | 0.0394 |
| 0.0002        | 15.0  | 7035 | 0.0086          | 0.0758 | 0.0300 |


### Framework versions

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