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@@ -15,8 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # unga-climate-classifier
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- This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) to classify climate-related sentences in English from a set of 5600 annotated sentences from the United Nations General Assembly Corpus.
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- The model has been developed to build the Executive Comparative Climate Attention indicator, introduced in a [paper](https://direct.mit.edu/glep/article/doi/10.1162/glep.a.1/131712/Executive-Climate-Change-Attention-Toward-an) published in Global Environmental Politics
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0807
 
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  # unga-climate-classifier
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+ This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) trained to classify climate-related sentences in English using a dataset of 5,600 annotated sentences from the United Nations General Assembly Corpus. It was developed to build the Executive Comparative Climate Attention (ECCA) indicator, introduced in a [paper](https://direct.mit.edu/glep/article/doi/10.1162/glep.a.1/131712/Executive-Climate-Change-Attention-Toward-an) published in Global Environmental Politics.
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0807