Update README.md

README.md

@@ -102,5 +102,5 @@ For local use, applications such as Ollama, LMStudio, MLX-LM, llama.cpp, and KTr
 
 STAR-0b6 has achieved outstanding performance for models of its size on renowned function calling benchmarks.
 
-- BFCLv3: Achieved 51.70% overall accuracy, outperforming all baseline and recent methods.
-- ACEBench: Achieved 53.00% summary score, demonstrating superior generalization and robustness. This score is significantly higher than its base model (27.20%) and even surpasses much larger models like Llama3.1-8B (46.60%).
+- BFCLv3: Achieved 51.70% overall accuracy.
+- ACEBench: Achieved 53.00% summary score, demonstrating superior generalization and robustness. This score is significantly higher than its base model (27.20%).