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JakobLindscheid/
moral_foundations_fairness-bert-DANN-mfnc

Name: moral_foundations_fairness-bert-DANN-mfnc
Availability: InStock

transformers

safetensors

bert

google-bert/bert-base-uncased

finetune

endpoints_compatible

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Model Card for JakobLindscheid/moral_foundations_fairness-bert-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 google-bert/bert-base-uncased 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-bert-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