Update README.md

README.md

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-# Logistic regression Model for Climate Disinformation Classification
+# DistilBERT Model for Climate Disinformation Classification
 
 ## Model Description
 
-This is a Logistic regression baseline model for the Frugal AI Challenge 2024, specifically for the text classification task of identifying climate disinformation. The model serves as a performance floor.
+This is a model based on DistilBert tokenizer /classifier for the Frugal AI Challenge 2024, specifically for the text classification task of identifying climate disinformation. The model serves as a performance floor.
 
 ### Intended Use
 
@@ -57,10 +57,10 @@ Environmental impact is tracked using CodeCarbon, measuring:
 This tracking helps establish a baseline for the environmental impact of model deployment and inference.
 
 ## Limitations
-- Makes Logistic regression predictions
+- Makes BERT predictions
 - No learning or pattern recognition
-- Input text vectorized
-- Serves only as a LR baseline reference
+- Input text vectorized/tokenized
+- Serves only as a BERT baseline reference
 - Not suitable for any real-world applications
 
 ## Ethical Considerations