---
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: 0.2383
- Wer: 449.4838
- Cer: 314.1858

## 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: 1e-05
- 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: 9
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Cer      | Validation Loss | Wer      |
|:-------------:|:------:|:----:|:--------:|:---------------:|:--------:|
| No log        | 0.6349 | 10   | 186.5657 | 9.8260          | 332.2476 |
| No log        | 1.3175 | 20   | 186.5463 | 8.9427          | 332.5733 |
| No log        | 1.9524 | 30   | 179.3050 | 7.4165          | 329.6417 |
| No log        | 2.5714 | 40   | 173.6168 | 4.7760          | 313.5179 |
| 6.244         | 3.1905 | 50   | 173.0538 | 1.3689          | 295.1140 |
| 6.244         | 3.8254 | 60   | 119.1807 | 0.5697          | 184.8534 |
| 6.244         | 4.4444 | 70   | 113.7061 | 0.4699          | 172.4756 |
| 6.244         | 5.3175 | 80   | 126.2085 | 0.4148          | 175.2443 |
| 6.244         | 5.9524 | 90   | 127.4316 | 0.3749          | 230.9446 |
| 0.3668        | 6.5714 | 100  | 146.0299 | 0.3359          | 242.0195 |
| 0.3668        | 7.3175 | 110  | 217.5306 | 0.3022          | 297.0684 |
| 0.3668        | 7.9524 | 120  | 280.9163 | 0.2764          | 312.5407 |
| 0.3668        | 8.6349 | 130  | 0.2581   | 364.9837        | 232.8286 |


### Framework versions

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