change phrasing for readme

README.md

@@ -34,7 +34,7 @@ BitAgent-8B secured a **top-10 rank (6th place)** on the BFCL, ahead of notable
 - DeepSeek
 - Claude
 
-While some high-ranking small-form models on BFCL appear to overfit specific function-calling tasks, **BitAgent-8B** was purposefully trained to preserve broad generalization. This emphasis on diverse tasks ensures robust, consistent performance across a variety of real-world use cases.
+While some high-ranking small-form models on BFCL may have overfit specific function-calling tasks, **BitAgent-8B** was purposefully trained to preserve broad generalization. This emphasis on diverse tasks ensures robust, consistent performance across a variety of real-world use cases.
 
 ---
 
@@ -42,7 +42,7 @@ While some high-ranking small-form models on BFCL appear to overfit specific fun
 **BitAgent-8B** was developed with an **incentive mechanism** on Bittensor Subnet #20:
 - Miners contributed compute to fine-tune and host candidate models.
 - Validators continuously tested these models on domain-specific tool-calling prompts.
-- Incentive mechanism drove iterative improvements and overcame overfitting pitfalls.
+- Incentive mechanism drove iterative improvements with unique challenges targetting at combating overfitting.
 
 This ecosystem ensures BitAgent-8B remains:
 1. **Adaptable** to new tasks.