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license: apache-2.0
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Biodiversity Commitment Specificity Classifier

Model Overview:
This binary text classification model evaluates the specificity of biodiversity commitments in corporate sustainability reports. Designed as a second-stage classifier for paragraphs already identified as commitments, it distinguishes between:

Specific: Commitments detailing concrete actions, measurable targets, clear strategies, or verifiable implementation plans

Non-specific: Vague, ambiguous, or unverifiable commitment statements 

Model Architecture:
Built on ClimateBERT, a DistilRoBERTa-based model pre-trained on climate-related text, this classifier was fine-tuned to assess commitment specificity in corporate biodiversity disclosures.

Training Data:
The model was trained on a curated dataset of 2,000 manually annotated paragraphs extracted from sustainability reports of Fortune Global 500 companies

Performance Metrics:
Evaluated using 5-fold cross-validation:
Weighted F1: 0.856 Weighted Precision: 0.891 Weighted Recall: 0.856 AUC-ROC: 0.922

Pipeline Recommendation:
For optimal results, use this model in combination with our commitment detection model:

Stage 1: Identify biodiversity-related commitments
Stage 2: Classify commitment specificity (this model)