Update README.md

README.md

@@ -10,7 +10,6 @@ metrics:
 - accuracy
 tags:
 - medical
-pipeline_tag: text2text-generation
 ---
 
 # Model Card for Model ID
@@ -223,7 +222,7 @@ Using Lora
 
 #### Preprocessing [optional]
 
-Original:
+Original Model Configuration:
 
 ```json
 StableLMEpochForCausalLM(
@@ -253,6 +252,13 @@ StableLMEpochForCausalLM(
   (lm_head): Linear(in_features=2560, out_features=50304, bias=False)
 )
 ```
+Data Formatting :
+
+```json
+Given a target sentence construct the underlying meaning representation of the input sentence as a single function with attributes and attribute values.
+This function should describe the target string accurately and the function must be one of the following ['inform', 'request', 'give_opinion', 'confirm', 'verify_attribute', 'suggest', 'request_explanation', 'recommend', 'request_attribute'].
+The attributes must be one of the following: ['name', 'pathology', 'therapeutic', 'dosage', 'side_effects', 'contraindications', 'manufacturer', 'price', 'availability', 'administration', 'warnings', 'interactions', 'storage', 'expiration_date', 'formulation', 'strength', 'route_of_administration', 'class', 'prescription_required', 'generic_name', 'brand_name', 'patient_instructions']
+```
 
 
 #### Training Hyperparameters