This model is part of the Master Thesis "Domain-adversarial moral foundation prediction for long EU legal documents". All related code is published on GitHub.
The models are finetuned for classifying moral foundations. We use domain-adversarial training to transfer knowledge from a labeled source domain to an unlabeled target domain.
This specific model is a collection of binary classifiers each a finetuned FacebookAI/roberta-base model that identifies one of the moral foundations. All models in this ensemble use the MFTC and MFRC as source domain and the MFNC as target domain.