MYBully
Collection
Collection of PLM model fine-tuned on MYBully Dataset • 9 items • Updated
MYBully-CyBERT (Manual)
Model Overview
This model is MYBully-CyBERT, fine-tuned exclusively on the manually annotated portion of the MYBully dataset.
It is designed for Cyberbullying Detection in Bahasa Malaysia tweets.
Intended Use
- Cyberbullying and abusive language detection (binary classification).
Training Data
- Dataset: MYBully (Bahasa Malaysia tweets).
- Annotation: Manual
Model Details
- Base model: roberta-base-bahasa-cased
- Fine-tuning: Binary classification head
- Labels: Cyberbully (1) vs Non-cyberbully (0)
Performance
| Metric | Value |
|---|---|
| Accuracy | 0.84 |
| Precision | 0.85 |
| Recall | 0.85 |
| F1 | 0.85 |
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Model tree for mohanrj/mybully-cybert-manual
Base model
mesolitica/roberta-base-bahasa-cased