metadata
library_name: transformers
datasets:
- alessioGalatolo/AMAeval
language:
- en
base_model:
- Qwen/Qwen2.5-3B-Instruct
Model Card for AMAEval
This is the classifier used as the dynamic benchmark for AMAeval. Given appropriate reasoning in input, it will give a score in [0,1].
Model Details
Model Description
This is a fine-tuned version of Qwen/Qwen2.5-3B-Instruct.
Model Sources
- Repository: https://github.com/alessioGalatolo/AMAeval
- Paper [optional]: TBA
Uses
This model is to be used as described in https://github.com/alessioGalatolo/AMAeval. Do not use the model outside its intended purpose.
Training Details
Training Data
The dataset used to train this model is available at https://huggingface.co/datasets/alessioGalatolo/AMAeval
Citation
BibTeX:
@incollection{galatolo2025amaeval,
title = {Beyond Ethical Alignment: Evaluating LLMs as Artificial Moral Assistants},
author = {Galatolo, Alessio and Rappuoli, Luca Alberto and Winkle, Katie and Beloucif, Meriem},
booktitle={ECAI 2025},
pages={}, # TBA
year={2025},
publisher={IOS Press}
}