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mybully-emobert-manual-hitl
mohanrj/mybully-emobert-manual-hitl
mybully-emobert-manual-hitl is a machine learning model from mohanrj. 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 mit.
This model is MYBully-EmoBERT, trained on manual + HITL annotations from MYBully for Emotion Detection. It benefits from iterative HITL refinement to improve robustness.
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At a glance
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Oct 3, 2025
- Updated
- Jul 1, 2026
- SHA
- 6591bebe
Base models
Datasets
Model card
From the Hugging Face model README
MYBully-EmoBERT (Manual + HITL)
Model Overview
This model is MYBully-EmoBERT, trained on manual + HITL annotations from MYBully for Emotion Detection.
It benefits from iterative HITL refinement to improve robustness.
Intended Use
- Detecting emotions in Bahasa Malaysia tweets (e.g., anger, joy, sadness, fear).
Training Data
- Dataset: MYBully (Bahasa Malaysia tweets).
- Annotation: Manual + HITL
- {'Anger': 0, 'Disgust': 1, 'Fear': 2, 'Happiness': 3, 'Neutral': 4, 'Sadness': 5, 'Surprise': 6}
Model Details
- Base model: roberta-base-bahasa-cased
- Fine-tuning: Multi-class classification head
- Labels: Multiple emotions (e.g., Anger, Joy, Sadness, Fear, Neutral)
Performance
| Metric | Value |
|---|---|
| Accuracy | 0.66 |
| Precision | 0.67 |
| Recall | 0.66 |
| Macro F1 | 0.66 |
- Type
- roberta
- License
- mit
- Languages
- ms
- Created
- Oct 3, 2025
- Updated
- Jul 1, 2026