# 🇲🇦 Darija Translation Model (Darija → MSA / English)
## 📌 Project Overview
This project aims to improve **machine translation for Moroccan Darija**, a low-resource and non-standardized dialect, by fine-tuning a **pre-trained multilingual transformer model (NLLB)** on a Darija-specific parallel dataset.
General-purpose translation models are not optimized for Darija, which often results in **inconsistent and low-quality translations**. This project addresses that limitation by adapting the model to Darija data.
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## 🎯 Objectives
- Fine-tune a pre-trained multilingual model on Darija data
- Improve translation **quality, fluency, and consistency**
- Support:
- Darija → Modern Standard Arabic (MSA)
- Darija → English
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## đź§ Model Details
- **Base Model**: NLLB (No Language Left Behind)
- **Architecture**: Transformer (Encoder–Decoder)
- **Training Type**: Supervised fine-tuning
- **Framework**: Hugging Face Transformers
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