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license: apache-2.0 |
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Biodiversity Commitment Classifier |
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Model Overview: |
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This binary text classification model identifies and distinguishes biodiversity commitments in corporate sustainability reports. It classifies paragraphs as either: |
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Commitment: The company pledges specific actions to improve biodiversity or reduce negative environmental impacts |
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Non-commitment: General statements, observations, or non-actionable content related to biodiversity |
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Model Architecture: |
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Built on ClimateBERT, a DistilRoBERTa-based model pre-trained on climate-related text, this classifier was fine-tuned specifically for biodiversity commitment detection in corporate disclosures. |
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Training Data: |
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The model was trained on a curated dataset of 2,000 manually annotated paragraphs extracted from sustainability reports of Fortune Global 500 companies, ensuring high-quality labels and real-world applicability to corporate ESG analysis. |
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Recommended Pipeline: First use ESGBERT/EnvironmentalBERT-biodiversity to identify biodiversity-related paragraphs, then apply this model to identify commitments. |
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Performance Metrics: |
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Average of 5-fold cross-validation: |
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Weighted F10.928 Weighted Precision0.930Weighted Recall0.929AUC-ROC0.976 |
