|
|
--- |
|
|
license: apache-2.0 |
|
|
--- |
|
|
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) |
|
|
|
