Update README.md

README.md

@@ -185,8 +185,9 @@ The model was trained on a comprehensive dataset of Python code review examples
 - Error Handling and Logging
 
 ## Training Procedure
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/alenphilip2071-google/huggingface/runs/d27nrifd) 
 ### Training Hyperparameters
-- Training regime: bf16 mixed precision with QLoRA
+- Training regime: bf16 mixed precision with SFT & QLoRA
 - Base Model: Qwen2.5-7B-Instruct
 - LoRA Rank: 32
 - LoRA Alpha: 64
@@ -209,9 +210,9 @@ Testing Data
 Evaluation performed on held-out Python code examples from the same dataset distribution.
 
 ### Metrics
-ROUGE-L: 0.754
-BLEU: 61.99
-Validation Loss: 0.595
+ROUGE-L: 0.754  
+BLEU: 61.99  
+Validation Loss: 0.595  
 
 ## Results
 The model achieved strong performance on code review tasks, particularly excelling at:
@@ -253,12 +254,12 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
   publisher    = {Hugging Face}  
 }
 ## Model Card Authors
-- Alen Philip George
+Alen Philip George
 
 ## Model Card Contact
-Hugging Face: alenphilip  
+Hugging Face: [alenphilip](https://huggingface.co/alenphilip)  
 LinkedIn: [alenphilipgeorge](linkedin.com/in/alen-philip-george-130226254)  
-Email: alenphilipgeorge@gmail.com
+Email: [alenphilipgeorge@gmail.com](mailto:alenphilipgeorge@gmail.com)
 
 
 For questions about this model, please use the Hugging Face model repository discussions or contact via the above channels.