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deepdml/whisper-base-ar-quran-mix-norm

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face

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Whisper Base ar-quran

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

—Loss: 0.0021
—Wer Raw: 0.1668
—Cer Raw: 0.0591
—Wer: 0.1620
—Cer: 0.0609

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
—trainbatchsize: 64
—evalbatchsize: 64
—seed: 42
—optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
—lrschedulertype: linear
—lrschedulerwarmup_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}
    }