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mybully-cybert-manual-hitl
mohanrj/mybully-cybert-manual-hitl
mybully-cybert-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-CyBERT, fine-tuned on a combination of manually annotated data + Human-in-the-Loop (HITL) annotated data from the MYBully dataset. It extends the manual baseline with additional annotations valid…
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At a glance
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Oct 3, 2025
- Updated
- Mar 29, 2026
- SHA
- 9b649536
Base models
Datasets
Model card
From the Hugging Face model README
MYBully-CyBERT (Manual + HITL)
Model Overview
This model is MYBully-CyBERT, fine-tuned on a combination of manually annotated data + Human-in-the-Loop (HITL) annotated data from the MYBully dataset.
It extends the manual baseline with additional annotations validated via HITL.
Intended Use
- Cyberbullying detection in Bahasa Malaysia tweets.
- Research on the impact of HITL annotation for low-resource abusive language tasks.
Training Data
- Dataset: MYBully (Bahasa Malaysia tweets).
- Annotation: Manual + HITL
Model Details
- Base model: roberta-base-bahasa-cased
- Fine-tuning: Binary classification head
- Labels: Cyberbully (1) vs Non-cyberbully (0)
Performance
| Metric | Value |
|---|---|
| Accuracy | 0.85 |
| Precision | 0.86 |
| Recall | 0.89 |
| F1 | 0.88 |
@misc{mohan_raj_2026,
author = { Mohan Raj and Manjeevan Singh Seera },
title = { mybully-cybert-manual-hitl},
year = 2026,
url = { https://huggingface.co/mohanrj/mybully-cybert-manual-hitl },
doi = { 10.57967/hf/8182 },
publisher = { Hugging Face },
howpublished = {\url{https://huggingface.co/mohanrj/mybully-cybert-manual-hitl}}
}
- Type
- roberta
- License
- mit
- Languages
- ms
- Created
- Oct 3, 2025
- Updated
- Mar 29, 2026