---
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: 0.0180
- Wer: 2.0030
- Cer: 1.0182

## 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: 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: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.0211        | 1.0   | 469  | 0.0229          | 2.6548 | 1.3564 |
| 0.0192        | 2.0   | 938  | 0.0209          | 2.1622 | 1.1267 |
| 0.0149        | 3.0   | 1407 | 0.0193          | 1.3596 | 0.6720 |
| 0.0145        | 4.0   | 1876 | 0.0182          | 1.1658 | 0.6142 |
| 0.0106        | 5.0   | 2345 | 0.0176          | 1.7265 | 0.9079 |
| 0.0121        | 6.0   | 2814 | 0.0171          | 1.5142 | 0.7794 |
| 0.0139        | 7.0   | 3283 | 0.0168          | 1.6885 | 0.8300 |


### Framework versions

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