Update README.md

README.md

@@ -1,6 +1,7 @@
 ---
 library_name: transformers
-tags: []
+datasets:
+- Nikil263/Fine_Tuning_Dataset
 ---
 
 # Model Card for Model ID
@@ -21,11 +22,11 @@ Through the fine-tuning process, the model has been trained on a dataset that in
 
 ## Training Details
 
-### Training Data
+### Fine Tuning
 
 <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
 
-
+The fine-tuning dataset for "Nikil263/Fine_Tuned_GPT2model" consists of a collection of natural language instructions and corresponding Pyomo code snippets specifically focused on defining and adding constraints in optimization models. Each entry in the dataset pairs an instructional prompt, such as "add a constraint of 7X + 3Y >= -7 in our model," with the appropriate Pyomo code, e.g., model.constraint3 = Constraint(expr=7 * model.x + 3 * model.y >= -7). This curated dataset ensures that the model learns to generate accurate and contextually relevant Pyomo constraint code from natural language descriptions, facilitating the automation of optimization model setup.
 
 ## Evaluation
 
@@ -39,13 +40,8 @@ Through the fine-tuning process, the model has been trained on a dataset that in
 
 [More Information Needed]
 
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
 
-[More Information Needed]
 
 #### Metrics
 
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->