deepdml/whisper-large-v3-turbo-ar-quran-mix

Whisper Turbo ar-quran

This model is a fine-tuned version of deepdml/whisper-large-v3-turbo on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:

• Loss: 1.0072
• Wer: 13.1125

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: 8
• eval_batch_size: 8
• 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: 15000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0084	1.0	15000	1.0072	13.1125

Framework versions

• Transformers 4.42.0.dev0
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1

Citation

@misc{deepdml/whisper-large-v3-turbo-ar-quran-mix,
      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}},
      year={2025}
    }