---
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: 0.0344
- Wer: 16.1004
- Cer: 5.1378

## 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: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     | Cer    |
|:-------------:|:-------:|:----:|:---------------:|:-------:|:------:|
| 0.0023        | 1.0     | 157  | 0.0291          | 18.4363 | 5.9503 |
| 0.0007        | 2.0     | 314  | 0.0258          | 19.4172 | 6.2648 |
| 0.0006        | 3.0     | 471  | 0.0290          | 19.4172 | 6.4596 |
| 0.0007        | 4.0     | 628  | 0.0278          | 20.3124 | 6.5744 |
| 0.0007        | 5.0     | 785  | 0.0307          | 21.0409 | 7.0886 |
| 0.0005        | 6.0     | 942  | 0.0311          | 20.6647 | 6.3780 |
| 0.0004        | 7.0     | 1099 | 0.0321          | 21.0028 | 6.7774 |
| 0.0003        | 8.0     | 1256 | 0.0347          | 19.5172 | 6.0479 |
| 0.0002        | 9.0     | 1413 | 0.0356          | 20.1647 | 6.2282 |
| 0.0001        | 10.0    | 1570 | 0.0358          | 18.5078 | 5.7090 |
| 0.0           | 11.0    | 1727 | 0.0370          | 18.4649 | 5.8249 |
| 0.0           | 12.0    | 1884 | 0.0384          | 17.8316 | 5.5625 |
| 0.0           | 13.0    | 2041 | 0.0384          | 17.1984 | 5.4460 |
| 0.0           | 14.0    | 2198 | 0.0384          | 16.7270 | 5.3628 |
| 0.0           | 14.9088 | 2340 | 0.0385          | 16.6841 | 5.3334 |


### Framework versions

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