# MASRIHEADS: Multi-Task Egyptian Arabic BERT

MASRIHEADS is a multi-task transformer-based model designed for the Egyptian Arabic dialect (Masri). It performs simultaneous classification for Sarcasm, Sentiment, and Emotion by leveraging a shared backbone and specialized task heads.

## Model Details
- **Base Model:** `T0KII/MASRIBERTv2`
- **Architecture:** BERT-based Multi-Task Classifier
- **Max Sequence Length:** 128
- **Language:** Egyptian Arabic (arz)

## Task Heads & Labels
The model is equipped with three classification heads:
- **Sarcasm (2 classes):** `not sarcastic`, `sarcastic`
- **Sentiment (3 classes):** `negative`, `neutral`, `positive`
- **Emotion (8 classes):** `none`, `anger`, `joy`, `sadness`, `love`, `sympathy`, `surprise`, `fear`

## Training Data
The model was trained on a consolidated dataset of Egyptian dialect text, including:
- `ar_sarcasm`
- `ArSarcasm_v2`
- `iSarcasmEval`
- `egyptian-arabic-fake-reviews`
- `egyptian_sentiment_analysis_dataset`
- `emotone_ar`

## Performance (Test Set F1)
| Task      | Macro-F1 |
|-----------|----------|
| Sarcasm   | 0.7882   |
| Sentiment | 0.7671   |
| Emotion   | 0.7649   |
| **Mean** | **0.7734**|