Model Card for multilingual bias detector
A model that detects biases in news texts in several languages.
This model is distilled from himel7/bias-detector model on a xlm-roberta (multilingual) model base using Transfer Learning.
Model Details
On BABE Test Set in English:
Accuracy- 0.826
Macro F1- 0.8317
On BABE Test Set in Hindi:
Accuracy- 0.781
Macro F1- 0.7912
On BABE Test Set in Bengali:
Accuracy- 0.76
Macro F1- 0.7757
You can add further metrics in other languages here...
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: Himel Ghosh
- Language(s) (NLP): English, Italian, German, etc.
- Finetuned from model xlm-roberta: Distilled from himel7/bias-detector
Model Sources [optional]
- Repository: [More Information Needed]
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
