---
license: apache-2.0
language:
- en
base_model:
- climatebert/distilroberta-base-climate-f
tags:
- climate
- policy
- adaptation
---

# Model card for ClimAdaptLM-I-chunk-classifier
## Model description
This model is a fine-tuned version of [climatebert/distilroberta-base-climate-f](https://huggingface.co/climatebert/distilroberta-base-climate-f) that classifies chunks of climate policy texts as **Adaptation** or **Not adaptation**. 

It is fine-tuned on a labelled dataset of 3,159 chunks with an average of 3,158 characters and 10 paragraphs per chunk. More details and the methodology can be found in the corresponding [research paper](https://aclanthology.org/2025.climatenlp-1.19/) and on our [Git](https://git.wur.nl/bonen003/transforming-adaptation-tracking).

## Model performance
**Recall**: 0.871
**F1 score**: 0.759
**Precision**: 0.673

## Citation information
```bibtex
@inproceedings{bonen2025transforming,
    title={{Transforming adaptation tracking: Benchmarking Transformer-based NLP approaches to retrieve adaptation-relevant information from climate policy text}},
    author={Bonenkamp, Jetske and Biesbroek, Robbert and Athanasiadis, Ioannis},
    booktitle={Proceedings of The 2nd Workshop of Natural Language Processing meets Climate Change},
    year={2025}
}
```