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

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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
• —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

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}
    }