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deepx-arabic-absa-marbert
Dohahemdann/deepx-arabic-absa-marbert
deepx-arabic-absa-marbert is a machine learning model from Dohahemdann. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Aspect-Based Sentiment Analysis model for Arabic restaurant reviews (Egyptian/Gulf/Levantine dialects + English).
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At a glance
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Apr 24, 2026
- Updated
- Apr 24, 2026
- SHA
- 84741275
Model card
From the Hugging Face model README
DeepX Arabic ABSA — MarBERT v2
Aspect-Based Sentiment Analysis model for Arabic restaurant reviews (Egyptian/Gulf/Levantine dialects + English).
Performance
| Metric | Score |
|---|---|
| Joint F1 | 0.7831 |
| Aspect F1 (micro) | 0.8611 |
| Sentiment F1 (micro) | 0.9113 |
Aspects detected
food · service · price · cleanliness · delivery · ambiance · app_experience · general · none
Sentiment classes
positive · negative · neutral
Architecture
- Backbone: UBC-NLP/MARBERTv2
- Mean-pool CLS representation
- Per-aspect sentiment heads (9 independent heads)
- Hidden dim: 384 | Dropout: 0.15
- 3-stage curriculum training with pseudo-labeling
Usage
import torch
import json
from transformers import AutoTokenizer, AutoModel
# Load tokenizer + encoder
tokenizer = AutoTokenizer.from_pretrained("Dohahemdann/deepx-arabic-absa-marbert")
# Then load classification_heads.pt and model_config.json separately
# (see full inference example in the repo)
Training details
- Trained with 3-stage curriculum (head warm-up → encoder fine-tune → pseudo-label augmentation)
- Neutral-aware focal loss with boost=5.0
- Best threshold: 0.55
- Best epoch: 8
- Type
- bert
- License
- apache-2.0
- Languages
- ar, en
- Created
- Apr 24, 2026
- Updated
- Apr 24, 2026