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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

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