Update README.md

README.md

@@ -22,7 +22,7 @@ Fine-tuned on synthetic + real-world datasets using CodeT5 with LoRA for efficie
 - **Model type:** Seq2Seq Transformer (CodeT5)  
 - **Language(s) (NLP):** English  
 - **License:** Apache 2.0  
-- **Finetuned from model:** Salesforce/CodeT5-small
+- **Finetuned from model:** Salesforce/CodeT5-base
 
 ### Model Sources
 
@@ -139,7 +139,7 @@ High syntax accuracy, good partial match rate, slightly lower exact match on mul
 ## Technical Specifications
 
 ### Model Architecture and Objective
-- CodeT5-small (encoder-decoder)  
+- CodeT5-base (encoder-decoder)  
 - Objective: Seq2Seq code generation from natural language + data context
 
 ### Compute Infrastructure