Update README.md

README.md

@@ -8,11 +8,11 @@ pinned: false
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-# Climate Disinformation Classification using Attention Mechanism
+# Climate Disinformation Classification using XGBOOST
 
 ## Model Description
 
-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.
+This is a model based on XGBOOST classifier for TF-IDF vectorized texts 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
 
@@ -57,9 +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
-- Text Classification using Attention Mechanism
+- Text Classification using XGBOOST 
 - No learning or pattern recognition
-- Input text vectorized/tokenized
+- Input text vectorized/tokenized with TF-IDF
+- XGBOOST parameter search 
 - Serves only as baseline reference
 - Not suitable for any real-world applications