Update README.md

README.md

@@ -12,10 +12,10 @@ Lightweight LoRA adapters trained on the EdinburghNLP/XSum dataset for abstracti
 
 The adapters fine-tune Mistral-7B-Instruct-v0.3 using ~50k training and 2k validation samples prepared via a summarization prompt.
 
-Training used the following parameters:
-r=8,
-lora_alpha=16,
-lora_dropout=0.1,
-target_modules=["q_proj", "k_proj", "v_proj", "o_proj"]
+Training used the following parameters:  
+r=8,  
+lora_alpha=16,  
+lora_dropout=0.1,  
+target_modules=["q_proj", "k_proj", "v_proj", "o_proj"]  
 
 Adapters can be merged into the base model for inference using PeftModel.merge_and_unload().