Update README.md

README.md

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 license: apache-2.0
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 Biodiversity Commitment Classifier
-Model Overview
+Model Overview:
 This binary text classification model identifies and distinguishes biodiversity commitments in corporate sustainability reports. It classifies paragraphs as either:
 
 Commitment: The company pledges specific actions to improve biodiversity or reduce negative environmental impacts
 Non-commitment: General statements, observations, or non-actionable content related to biodiversity
 
-Model Architecture
+Model Architecture:
 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.
-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, ensuring high-quality labels and real-world applicability to corporate ESG analysis.
-Performance Metrics
-Evaluated using 5-fold cross-validation:
-MetricScoreWeighted F10.928 Weighted Precision0.930Weighted Recall0.929AUC-ROC0.976
+
+Recommended Pipeline: First use ESGBERT/EnvironmentalBERT-biodiversity to identify biodiversity-related paragraphs, then apply this model to identify commitments.
+
+Performance Metrics:
+Average of 5-fold cross-validation:
+Weighted F10.928 Weighted Precision0.930Weighted Recall0.929AUC-ROC0.976