Updated model card

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 license: apache-2.0
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+
+# Model card for distilroberta-base-climate-f
+## 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]() and on our [Git](https://git.wur.nl/bonen003/transforming-adaptation-tracking).
+
+## 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}
+}
+```