Update README.md

README.md

@@ -19,11 +19,7 @@ tags:
 
 ![Training Loss](./train_loss.png)
 
-This PEFT adapter has been trained by using [Flower](https://flower.ai/), a friendly federated AI framework.
-
-The adapter and benchmark results have been submitted to the [FlowerTune LLM Code Leaderboard](https://flower.ai/benchmarks/llm-leaderboard/code/).
-
-### Evaluation Results (Accuracy)
+## Evaluation Results (Accuracy)
 
 - **MBPP**:  25.80 %
 - **HumanEval**: 37.81 %
@@ -31,13 +27,17 @@ The adapter and benchmark results have been submitted to the [FlowerTune LLM Cod
 - **MultiPL-E (C++)**: 32.92 %
 - **Average**: 34.38 %
 
-### Communication Budget
+## Communication Budget
 
 8766.51 MB Megabytes
 
 ## Model Details
 
-Please check the following GitHub project for model details and evaluation results:
+This PEFT adapter has been trained by using [Flower](https://flower.ai/), a friendly federated AI framework.
+
+The adapter and benchmark results have been submitted to the [FlowerTune LLM Code Leaderboard](https://flower.ai/benchmarks/llm-leaderboard/code/).
+
+Please check the following GitHub project for details on how to reproduce training and evaluation steps:
 
 [https://github.com/ethicalabs-ai/FlowerTune-Qwen2.5-Coder-0.5B-Instruct/](https://github.com/ethicalabs-ai/FlowerTune-Qwen2.5-Coder-0.5B-Instruct/)