---
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: 0.0097
- Wer: 0.0951
- Cer: 0.0412

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.0078        | 1.0   | 313  | 0.0073          | 0.0916 | 0.0336 |
| 0.0059        | 2.0   | 626  | 0.0071          | 0.0878 | 0.0325 |
| 0.0051        | 3.0   | 939  | 0.0072          | 0.0878 | 0.0331 |
| 0.0036        | 4.0   | 1252 | 0.0077          | 0.0874 | 0.0336 |
| 0.0017        | 5.0   | 1565 | 0.0081          | 0.0881 | 0.0341 |
| 0.0018        | 6.0   | 1878 | 0.0086          | 0.0871 | 0.0357 |
| 0.0016        | 7.0   | 2191 | 0.0091          | 0.0909 | 0.0369 |
| 0.0016        | 8.0   | 2504 | 0.0095          | 0.0842 | 0.0327 |
| 0.0011        | 9.0   | 2817 | 0.0098          | 0.0889 | 0.0336 |
| 0.001         | 10.0  | 3130 | 0.0102          | 0.0872 | 0.0415 |
| 0.0008        | 11.0  | 3443 | 0.0104          | 0.0865 | 0.0321 |


### Framework versions

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