Update README.md

README.md

@@ -36,8 +36,8 @@ The purpose of this model is to extract semantic relations from text in a struct
 ## How to use it:
 ### Template:
 Use the **prompt template** provided below to extract relations from text. Replace `<<your_text_for_extraction>>` with your selected text, ideally between 500-1500 tokens, 
-with an **optimal range** of about **800-1000 tokens**. You can adjust the **temperature** between 0.5 and 1.0; a good starting point is **between 0.6 and 0.7**. 
-Temperatures below 0.5 may lead to never ending `section_description`. The higher the temperature, the more the model will fill in the gaps in the provided text. 
+with an **optimal range** of about **800-1000 tokens**. You can adjust the **temperature** between 0.3 and 1.0; a good starting point is **between 0.6 and 0.7**. 
+Temperatures below 0.3 may lead to never ending `section_description`. The higher the temperature, the more the model will fill in the gaps in the provided text. 
 It was **fine-tuned on scientific articles**, so it will supplement missing information with general knowledge. 
 Model was trained on 2560 context lenght where 1000-1500 tokens where used as input text.