Update README.md

README.md

@@ -4,7 +4,8 @@ base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
 library_name: peft
 ---
 
-The DeepSeek-R1-Distill-Qwen-7B model has been fine-tuned **to predict hyperparameters for neural network models**. By leveraging the power of large language models (LLMs), this fine-tuned version can analyze neural network architectures and generate optimal hyperparameter configurations — such as learning rate, batch size, dropout, and momentum, etc. — for a given task. This approach provides a competitive alternative to traditional optimization methods like Optuna Framework.
+The DeepSeek-R1-Distill-Qwen-7B model has been fine-tuned **to predict hyperparameters for neural network models**. Leveraging the power of large language models (LLMs), this version can analyze neural network architectures and generate optimal hyperparameter configurations — such as learning rate, batch size, dropout, momentum, and so on — for a given task. This approach offers a competitive alternative to traditional optimization methods like the Optuna Framework.
+
 
 ## Model Details
 - Developed by: [Roman Kochnev / ABrain]