Update README.md

README.md

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 base_model:
 - Qwen/Qwen2.5-Coder-3B-Instruc
 pipeline_tag: translation
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+---
+
+### Performance on the BIRD Development Set
+
+We further evaluate **DatA-SQL-3B** on the **BIRD** development set using different self-consistency voting sizes.  
+Under **Vote@8**, our model attains an **execution accuracy (EX) of 61.05 %**.
+When the voting size increases to **Vote@32**, the EX further improves to **62.58 %**.
+These results confirm that larger voting ensembles enhance semantic robustness and execution stability while maintaining nearly the same inference cost due to our lightweight multi-agent design.  
+Overall, **DatA-SQL** achieves competitive or superior accuracy compared with GPT-based pipelines at only a fraction of their computational expense.