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README.md
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## Model Description
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climateBUG-LM is a deep learning language model fine-tuned for analyzing bank reports in the context of climate change and sustainability. It leverages a unique annotated corpus, climateBUG-Data, which consists of statements from EU banks' annual and sustainability reports, focusing on climate change and finance. This model aims to classify statements as relevant or irrelevant to climate-related subjects, offering enhanced performance due to its domain-specific training.
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## Applications
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The model is ideal for:
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author = {Yinan Yu and Samuel Scheidegger and Jasmine Elliott and Åsa Löfgren}
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}
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```
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## Model Description
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climateBUG-LM is a deep learning language model fine-tuned for analyzing bank reports in the context of climate change and sustainability. It leverages a unique annotated corpus, climateBUG-Data, which consists of statements from EU banks' annual and sustainability reports, focusing on climate change and finance. This model aims to classify statements as relevant or irrelevant to climate-related subjects, offering enhanced performance due to its domain-specific training.
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## Access and Usage
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- Models, dataset and tools are available at the [climateBUG project page](https://www.climatebug.se/).
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- Suitable for researchers and professionals in finance, sustainability, and climate policy.
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## Applications
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The model is ideal for:
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author = {Yinan Yu and Samuel Scheidegger and Jasmine Elliott and Åsa Löfgren}
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}
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```
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## Support and Contact
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For support, additional information, or inquiries, please reach out through climatebug@lumilogic.se or visit the [climateBUG project page](https://www.climatebug.se/).
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