Update README.md

README.md

@@ -24,15 +24,26 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This repository contains a fine-tuned version of the Mistral 7B model, tailored specifically for text-to-SQL tasks.
+The model is designed to convert natural language queries into structured SQL queries, enabling seamless interaction with databases through conversational language.
 
 ## Intended uses & limitations
 
-More information needed
+The Mistral-7B-Text2SQL model is intended for applications that require converting natural language queries into SQL commands. Suitable use cases include:
+
+Conversational Agents: Allowing users to retrieve information from databases through natural language interaction.
+Data Analytics: Enabling non-technical users to query databases without needing to know SQL syntax.
+Business Intelligence: Supporting decision-making processes by simplifying data access.
 
 ## Training and evaluation data
 
-More information needed
+The model was fine-tuned using the generator dataset, which consists of a variety of natural language queries paired with corresponding SQL commands. The dataset is designed to cover a wide range of query types, allowing the model to generalize better across different types of SQL queries.
+
+Dataset Characteristics
+Diversity: The dataset includes examples from various domains, ensuring that the model learns to handle a broad spectrum of queries.
+Size: (Include the size of the dataset, e.g., the number of examples if available.)
+Annotations: Each example includes natural language input along with the expected SQL output, facilitating supervised learning.
+
 
 ## Training procedure