Update README.md

README.md

@@ -3,24 +3,24 @@ license: apache-2.0
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 Biodiversity Commitment Specificity Classifier
 
-Model Overview
+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
+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
+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
+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
+Pipeline Recommendation:
 For optimal results, use this model in combination with our commitment detection model:
 
 Stage 1: Identify biodiversity-related commitments