README.md

---
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](https://github.com/alessioGalatolo/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

<!-- Provide the basic links for the model. -->

- **Repository:** [https://github.com/alessioGalatolo/AMAeval](https://github.com/alessioGalatolo/AMAeval)
- **Paper [optional]:** TBA

## Uses

This model is to be used as described in [https://github.com/alessioGalatolo/AMAeval](https://github.com/alessioGalatolo/AMAeval). Do not use the model outside its intended purpose.


## Training Details

### Training Data

<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->

The dataset used to train this model is available at [https://huggingface.co/datasets/alessioGalatolo/AMAeval](https://huggingface.co/datasets/alessioGalatolo/AMAeval)

## Citation

<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**


```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}
}
```