---
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: 0.0081
- Wer: 0.0885
- Cer: 0.0350

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.007         | 1.0   | 469  | 0.0069          | 0.0927 | 0.0352 |
| 0.0076        | 2.0   | 938  | 0.0065          | 0.0919 | 0.0353 |
| 0.0036        | 3.0   | 1407 | 0.0065          | 0.0905 | 0.0350 |
| 0.0041        | 4.0   | 1876 | 0.0068          | 0.0887 | 0.0340 |
| 0.003         | 5.0   | 2345 | 0.0071          | 0.0876 | 0.0330 |
| 0.003         | 6.0   | 2814 | 0.0076          | 0.0900 | 0.0358 |
| 0.0024        | 7.0   | 3283 | 0.0080          | 0.0916 | 0.0349 |
| 0.002         | 8.0   | 3752 | 0.0086          | 0.0889 | 0.0329 |
| 0.0015        | 9.0   | 4221 | 0.0089          | 0.1674 | 0.0708 |
| 0.0003        | 10.0  | 4690 | 0.0094          | 0.1690 | 0.0731 |
| 0.0005        | 11.0  | 5159 | 0.0097          | 0.1658 | 0.0705 |
| 0.0009        | 12.0  | 5628 | 0.0099          | 0.1669 | 0.0714 |
| 0.0005        | 13.0  | 6097 | 0.0101          | 0.1672 | 0.0712 |
| 0.0004        | 14.0  | 6566 | 0.0118          | 0.1017 | 0.0411 |
| 0.0001        | 15.0  | 7035 | 0.0103          | 0.1660 | 0.0713 |


### Framework versions

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