Update README.md

README.md

@@ -117,7 +117,7 @@ This model uses **LoRA (Low-Rank Adaptation)** for parameter-efficient fine-tuni
 
 ### Data Curation
 
-Energy-labeled documents were sourced from four HuggingFace datasets (see above). Non-energy documents were sampled from a base document pipeline, with deduplication to ensure no overlap with energy documents (validated by both document ID and MD5 hash matching).
+Energy-labeled documents were sourced from four HuggingFace datasets (see above). Classification labels for the training data were created with Mistral 3 Large model and this classifier was distilled from this data. Non-energy documents were sampled from a base document pipeline, with deduplication to ensure no overlap with energy documents (validated by both document ID and MD5 hash matching).
 
 ## 🎯 Use Cases