---
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: 0.0278
- Wer: 0.8483
- Cer: 0.4043

## 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-05
- 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: 25
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.0691        | 1.0   | 157  | 0.0645          | 4.6639 | 1.8253 |
| 0.0429        | 2.0   | 314  | 0.0408          | 1.8489 | 0.8577 |
| 0.0287        | 3.0   | 471  | 0.0332          | 2.3785 | 1.2099 |
| 0.0224        | 4.0   | 628  | 0.0293          | 1.3376 | 0.7609 |
| 0.012         | 5.0   | 785  | 0.0276          | 1.8050 | 0.9207 |
| 0.0098        | 6.0   | 942  | 0.0273          | 2.0293 | 1.0277 |
| 0.0076        | 7.0   | 1099 | 0.0272          | 1.1354 | 0.5388 |
| 0.0068        | 8.0   | 1256 | 0.0288          | 0.6950 | 0.3135 |
| 0.0042        | 9.0   | 1413 | 0.0292          | 0.9439 | 0.4304 |
| 0.003         | 10.0  | 1570 | 0.0290          | 1.5183 | 0.7840 |
| 0.0024        | 11.0  | 1727 | 0.0301          | 0.8514 | 0.3949 |


### Framework versions

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