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