MYBully
Collection
Collection of PLM model fine-tuned on MYBully Dataset • 9 items • Updated
MYBully-HateBERT (Manual)
Model Overview
This model is MYBully-HateBERT, trained exclusively on manual annotations of the MYBully dataset.
It serves as a baseline for Hate Speech Detection in Bahasa Malaysia.
Intended Use
- Binary classification: Hate Speech vs Non-Hate Speech.
Training Data
- Dataset: MYBully (Bahasa Malaysia tweets).
- Annotation: Manual
Model Details
- Base model: roberta-base-bahasa-cased
- Fine-tuning: Binary classification head
- Labels: Hate Speech (1), Non-Hate Speech (0)
Performance
| Metric | Value |
|---|---|
| Accuracy | 0.80 |
| Precision | 0.80 |
| Recall | 0.80 |
| F1 | 0.80 |
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Model tree for mohanrj/mybully-hatebert-manual
Base model
mesolitica/roberta-base-bahasa-cased