---
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: 0.0060
- Wer: 0.0802
- Cer: 0.0316

## 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: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 25
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.0065        | 1.0   | 391  | 0.0057          | 0.0744 | 0.0290 |
| 0.0054        | 2.0   | 782  | 0.0056          | 0.0733 | 0.0285 |
| 0.0046        | 3.0   | 1173 | 0.0057          | 0.0782 | 0.0298 |
| 0.0033        | 4.0   | 1564 | 0.0058          | 0.0746 | 0.0280 |
| 0.0046        | 5.0   | 1955 | 0.0061          | 0.0726 | 0.0280 |
| 0.0032        | 6.0   | 2346 | 0.0064          | 0.0726 | 0.0278 |
| 0.0013        | 7.0   | 2737 | 0.0067          | 0.0740 | 0.0296 |


### Framework versions

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