Update README.md

README.md

@@ -19,7 +19,7 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-This model is fine-tuned to specialize in generating content related to the environment and sustainability domain. The training involved Soft Fine-Tuning, Parameter Efficient Fine-Tuning (PEFT), and Low-Rank Adaptation (LoRA) techniques to optimize model performance. The motivation behind this research is to explore the feasibility and effectiveness of Semantically Sufficient Private Large Language Models (LLMs) for secure, domain-specific knowledge extraction in the context of environment and sustainability.
+This model is fine-tuned to specialize in generating content related to the environment and sustainability domain. The training involved Supervised Fine-Tuning (SFT), Parameter Efficient Fine-Tuning (PEFT), and Low-Rank Adaptation (LoRA) techniques to optimize model performance. The motivation behind this research is to explore the feasibility and effectiveness of Semantically Sufficient Private Large Language Models (LLMs) for secure, domain-specific knowledge extraction in the context of environment and sustainability.
 
 ## Intended uses