Whisper Tiny ar-quran

This model is a fine-tuned version of openai/whisper-tiny on the Quran dataset. It achieves the following results on the evaluation set:

Loss: 0.0344
Wer Raw: 3.5416
Cer Raw: 1.0757
Wer: 3.3920
Cer: 1.0872

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: 64
eval_batch_size: 64
seed: 42
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_ratio: 0.04
training_steps: 20000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Raw	Cer Raw	Wer	Cer
0.6209	0.05	1000	0.3911	36.4009	12.3406	34.2952	11.8662
0.3487	0.1	2000	0.2256	22.4230	7.1651	21.1641	6.9660
0.1141	0.15	3000	0.1559	15.5910	4.9591	14.7442	4.8461
0.2314	0.2	4000	0.1305	14.3373	5.2439	13.6194	5.1185
0.125	0.25	5000	0.0992	10.4622	3.3425	10.0046	3.3191
0.1765	0.3	6000	0.0848	8.8922	2.7646	8.4628	2.7475
0.3065	0.35	7000	0.0801	8.7327	2.8984	8.2793	2.8643
0.044	0.4	8000	0.0716	7.2403	2.1966	6.8857	2.1833
0.5188	0.45	9000	0.0646	6.8962	2.1783	6.5449	2.1737
0.5267	0.5	10000	0.0622	6.9441	2.2432	6.6365	2.2551
0.1795	0.55	11000	0.0528	5.5275	1.7637	5.2663	1.7581
0.222	0.6	12000	0.0475	5.0622	1.6295	4.8446	1.6363
0.487	0.65	13000	0.0468	5.0828	1.7026	4.8552	1.6783
0.2944	0.7	14000	0.0446	4.6040	1.4377	4.4004	1.4395
0.3001	0.75	15000	0.0450	4.7722	1.5126	4.5609	1.5161
0.1493	0.8	16000	0.0400	4.0836	1.2418	3.9111	1.2501
0.2001	0.85	17000	0.0405	4.3107	1.4219	4.1253	1.4433
0.2617	0.9	18000	0.0371	3.7888	1.1473	3.6321	1.1582
0.1278	0.95	19000	0.0351	3.5938	1.1006	3.4467	1.1157
0.554	1.0	20000	0.0344	3.5416	1.0757	3.3920	1.0872

Framework versions

Transformers 4.48.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.6.0
Tokenizers 0.21.0

Citation

Please cite the model using the following BibTeX entry:

@misc{deepdml/whisper-tiny-ar-quran-mix-norm,
      title={Fine-tuned Whisper tiny ASR model for speech recognition in Arabic},
      author={Jimenez, David},
      howpublished={\url{https://huggingface.co/deepdml/whisper-tiny-ar-quran-mix-norm}},
      year={2026}
    }