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
0.1422	0.05	1000	0.1588	15.2014	4.7959	14.3479	4.7106
0.0334	0.1	2000	0.0686	6.7112	2.1317	6.3945	2.1386
0.1	0.15	3000	0.0403	3.8938	1.2405	3.7529	1.2552
0.0188	0.2	4000	0.0277	2.8289	0.8949	2.7240	0.9113
0.01	0.25	5000	0.0218	2.2476	0.7068	2.1614	0.7183
0.0039	0.3	6000	0.0173	1.8120	0.6043	1.7444	0.6160
0.0091	0.35	7000	0.0147	1.4904	0.4771	1.4382	0.4875
0.0105	0.4	8000	0.0120	1.1808	0.3770	1.1387	0.3809
0.0025	0.45	9000	0.0102	0.9724	0.3168	0.9331	0.3209
0.0031	1.0074	10000	0.0086	0.8435	0.2776	0.8137	0.2826
0.0023	1.0575	11000	0.0075	0.7323	0.2374	0.7040	0.2423
0.0028	1.1075	12000	0.0064	0.6364	0.2072	0.6101	0.2097
0.0007	1.1575	13000	0.0055	0.5286	0.1703	0.5061	0.1729
0.0012	1.2074	14000	0.0048	0.4524	0.1509	0.4299	0.1511
0.0013	1.2574	15000	0.0041	0.4040	0.1337	0.3877	0.1379
0.0009	1.3075	16000	0.0036	0.3441	0.1155	0.3307	0.1180
0.0008	1.3575	17000	0.0033	0.3010	0.1062	0.2909	0.1079
0.0012	1.4074	18000	0.0026	0.2315	0.0824	0.2257	0.0846
0.0012	1.4575	19000	0.0023	0.1955	0.0737	0.1888	0.0745
0.0005	2.0154	20000	0.0021	0.1668	0.0591	0.1620	0.0609

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:

bibtex

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