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--- |
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license: apache-2.0 |
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language: |
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- en |
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base_model: |
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- climatebert/distilroberta-base-climate-f |
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tags: |
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- climate |
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- policy |
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- adaptation |
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--- |
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# Model card for ClimAdaptLM-I-chunk-classifier |
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## Model description |
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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**. |
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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). |
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## Model performance |
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**Recall**: 0.871 |
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**F1 score**: 0.759 |
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**Precision**: 0.673 |
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## Citation information |
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```bibtex |
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@inproceedings{bonen2025transforming, |
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title={{Transforming adaptation tracking: Benchmarking Transformer-based NLP approaches to retrieve adaptation-relevant information from climate policy text}}, |
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author={Bonenkamp, Jetske and Biesbroek, Robbert and Athanasiadis, Ioannis}, |
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booktitle={Proceedings of The 2nd Workshop of Natural Language Processing meets Climate Change}, |
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year={2025} |
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} |
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``` |
