Update README.md

README.md

@@ -26,13 +26,6 @@ hf_hub_url: SemViQA/tc-infoxlm-isedsc01
 
 SemViQA-TC serves as the **first step in the two-step classification process** of the SemViQA system. It initially categorizes claims into three classes: **SUPPORTED, REFUTED, or NEI**. For claims classified as **SUPPORTED** or **REFUTED**, a secondary **binary classification model (SemViQA-BC)** further refines the prediction. This hierarchical classification strategy enhances the accuracy of fact verification.  This approach aims to achieve state-of-the-art results by combining Semantic-based Evidence Retrieval (SER) and Two-step Verdict Classification (TVC).
 
-### **Model Achievements**
-- **1st place** in the **UIT Data Science Challenge** 🏅  
-- **State-of-the-art** performance on:  
-  - **ISE-DSC01** → **78.97% strict accuracy**  
-  - **ViWikiFC** → **80.82% strict accuracy**  
-- **SemViQA Faster**: **7x speed improvement** over the standard model 🚀  
-
 ## Usage Example
 
 Direct Model Usage