himel7/multilingual-bias-detector

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]