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mDeBERTa-EAD-conflict-bilingual_1.0
rwillh11/mDeBERTa-EAD-conflict-bilingual_1.0
mDeBERTa-EAD-conflict-bilingual_1.0 is a text classification model from rwillh11. Use it when you need a label for a piece of text. It is set up for transformers.
An mDeBERTa-v3 model trained to recognize whether a paragraph contains coverage of conflict between political actors. Fine-Tuned on 9500 English and Spanish paragraphs taken from media sources in the US, UK, Canada, A…
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- deberta-v2
- Access
- Public
- Created
- Jan 26, 2024
- Updated
- Aug 11, 2025
- SHA
- 3ee61e7b
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Model card
From the Hugging Face model README
An mDeBERTa-v3 model trained to recognize whether a paragraph contains coverage of conflict between political actors. Fine-Tuned on 9500 English and Spanish paragraphs taken from media sources in the US, UK, Canada, Australia, Mexico and Spain.
Performance:
Validation Accuracy: .894 Validation F1 Macro: .805 Valdiation Balanced Accuracy: .792
On a Bilingual test set, the model performs equally well in English and Spanish (English Accuracy = .891, Balanced Accuracy = .781, Spanish Accuracy = .880, Balanced Accuracy = .813)
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- Created
- Jan 26, 2024
- Updated
- Aug 11, 2025