Update README.md

README.md

@@ -76,11 +76,10 @@ The model has been trained using an efficient few-shot learning technique that i
 ## Model Details
 The purpose of this model is to predict multiple labels simultaneously from a given input data. Specifically, the model will predict 3 labels - 
 GHGLabel, NetzeroLabel, NonGHGLabel- that are relevant to a particular task or application
-- **Target**: Targets are an intention to achieve a specific result, for example, to reduce GHG emissions to a specific level 
-            (a GHG target) or increase energy efficiency or renewable energy to a specific level (a non-GHG target), typically by  
-            a certain date.
-- **Action**: Actions are an intention to implement specific means of achieving GHG reductions, usually in forms of concrete projects.
-- **Policies**: Policies are domestic planning documents such as policies, regulations or guidlines.
+- **GHGLabel**: GHG targets refer to contributions framed as targeted \
+                              outcomes in GHG terms
+- **NetzeroLabel**: Identifies if it contains Netzero Target or not.
+- **NonGHGLabel**: Target not in terms of GHG, like energy efficiency, expansion of Solar Energy production etc.
 
 ### Model Description
 - **Model Type:** SetFit