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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
<!-- Provide a longer summary of what this model is. -->
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]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed] |