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whisper-large-v3-quran-lora
baristiran/whisper-large-v3-quran-lora
whisper-large-v3-quran-lora is a automatic speech recognition model from baristiran. Use it when you need speech turned into text. It is set up for peft. The card lists the license as apache-2.0.
Fine-tuned openai/whisper-large-v3 for Quranic Arabic speech recognition using LoRA.
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At a glance
- Task
- Automatic Speech Recognition
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Feb 24, 2026
- Updated
- May 5, 2026
- SHA
- bbd9a763
Base models
Datasets
Model card
From the Hugging Face model README
Whisper Large-v3 Quran LoRA
Fine-tuned openai/whisper-large-v3 for Quranic Arabic speech recognition using LoRA.
Performance
| Metric | Score |
|---|---|
| WER (normalized) | 1.58% |
| WER (diacritized) | 3.92% |
| Tarteel AI baseline | 5.75% |
Training Details
| Parameter | Value |
|---|---|
| Base model | openai/whisper-large-v3 (1.5B params) |
| Method | LoRA (r=32, alpha=64) |
| Target modules | q_proj, k_proj, v_proj, out_proj, fc1, fc2 |
| Trainable params | ~13M (0.87%) |
| Dataset | tarteel-ai/everyayah (~127K samples) |
| Epochs | 5 (~18K steps) |
| Batch size | 32 x 2 = 64 effective |
| Learning rate | 3e-4 (cosine scheduler) |
| Precision | fp16 |
| GPU | NVIDIA A100 80GB |
| Training time | ~12 hours |
Usage
from transformers import WhisperProcessor, WhisperForConditionalGeneration
from peft import PeftModel
processor = WhisperProcessor.from_pretrained("baristiran/whisper-large-v3-quran-lora")
base_model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-large-v3")
model = PeftModel.from_pretrained(base_model, "baristiran/whisper-large-v3-quran-lora")
# Transcribe
inputs = processor(audio_array, sampling_rate=16000, return_tensors="pt")
predicted_ids = model.generate(**inputs, max_length=225)
transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)[0]
Project
Part of Tilavet — open-source Quran STT + translation platform.
Author
- Task
- Automatic Speech Recognition
- Library
- peft
- License
- apache-2.0
- Languages
- ar
- Created
- Feb 24, 2026
- Updated
- May 5, 2026