metadata
library_name: transformers
tags:
- news
- bias
- nlp
- mediabias
- multilingual
license: apache-2.0
datasets:
- mediabiasgroup/BABE
language:
- en
- bn
- hi
- de
- it
- fr
- da
- es
- ar
- ur
- zh
- pt
- nl
- ru
- ja
metrics:
- f1
base_model:
- himel7/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]