Model Card for JakobLindscheid/moral_foundations_fairness-roberta-DANN-mfnc
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 finetuned FacebookAI/roberta-base model that identifies the fairness foundation, uses the MFTC and MFRC as source domain and the MFNC as target domain.
Refer to JakobLindscheid/moral_foundations_ensemble-roberta-DANN-mfnc, which wraps all single label models in an ensemble model.
Overview of ensemble models
| Base model | Target domain | Model |
|---|---|---|
google-bert/bert-base-uncased |
MFNC | JakobLindscheid/moral_foundations_ensemble-bert-DANN-mfnc |
google-bert/bert-base-uncased |
EU docs | JakobLindscheid/moral_foundations_ensemble-bert-DANN-eu_docs |
FacebookAI/roberta-base |
MFNC | JakobLindscheid/moral_foundations_ensemble-roberta-DANN-mfnc |
FacebookAI/roberta-base |
EU docs | JakobLindscheid/moral_foundations_ensemble-roberta-DANN-eu_docs |
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FacebookAI/roberta-base