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 Recal…
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:
MetricScoreWeighted F10.856Weighted Precision0.857Weighted R…
