Whisper Turbo ar-quran
This model is a fine-tuned version of deepdml/whisper-large-v3-turbo on the Quran dataset. It achieves the following results on the evaluation set:
- Loss: 0.0029
- Wer: 0.2401
- Cer: 0.0690
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.04
- training_steps: 22000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.0768 | 0.0455 | 1000 | 0.0944 | 7.1584 | 2.0729 |
| 0.0383 | 0.0909 | 2000 | 0.0788 | 6.2310 | 1.8630 |
| 0.0285 | 0.1364 | 3000 | 0.0496 | 4.1718 | 1.1321 |
| 0.0263 | 0.1818 | 4000 | 0.0412 | 3.3369 | 1.0024 |
| 0.0295 | 0.2273 | 5000 | 0.0335 | 2.8189 | 0.8138 |
| 0.0326 | 0.2727 | 6000 | 0.0324 | 2.7451 | 0.8045 |
| 0.0154 | 0.3182 | 7000 | 0.0327 | 2.6813 | 0.7991 |
| 0.0078 | 0.3636 | 8000 | 0.0268 | 2.2577 | 0.6867 |
| 0.0126 | 0.4091 | 9000 | 0.0171 | 1.6026 | 0.5705 |
| 0.0064 | 0.4545 | 10000 | 0.0170 | 1.3016 | 0.3734 |
| 0.0085 | 0.5 | 11000 | 0.0161 | 1.3246 | 0.3916 |
| 0.0374 | 0.5455 | 12000 | 0.0100 | 0.8497 | 0.2447 |
| 0.0032 | 0.5909 | 13000 | 0.0115 | 0.9043 | 0.2639 |
| 0.0063 | 0.6364 | 14000 | 0.0112 | 0.9316 | 0.3412 |
| 0.0112 | 0.6818 | 15000 | 0.0086 | 0.6987 | 0.1931 |
| 0.0021 | 0.7273 | 16000 | 0.0070 | 0.5593 | 0.1611 |
| 0.0019 | 0.7727 | 17000 | 0.0063 | 0.5051 | 0.1426 |
| 0.0006 | 0.8182 | 18000 | 0.0057 | 0.4519 | 0.1326 |
| 0.0004 | 0.8636 | 19000 | 0.0051 | 0.4313 | 0.1444 |
| 0.0012 | 0.9091 | 20000 | 0.0038 | 0.3149 | 0.0864 |
| 0.0025 | 0.9545 | 21000 | 0.0033 | 0.2693 | 0.0728 |
| 0.0007 | 1.0 | 22000 | 0.0029 | 0.2401 | 0.0690 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
Citation
Please cite the model using the following BibTeX entry:
@misc{deepdml/whisper-large-v3-turbo-ar-quran-mix-norm,
title={Fine-tuned Whisper turbo ASR model for speech recognition in Arabic},
author={Jimenez, David},
howpublished={\url{https://huggingface.co/deepdml/whisper-large-v3-turbo-ar-quran-mix-norm}},
year={2026}
}