Update README.md

README.md

@@ -18,7 +18,7 @@ A CodeLlama-7b model fine-tuned on the Spider dataset using QLoRA (4-bit quantiz
 
 This model is a parameter-efficient fine-tune of CodeLlama-7b using QLoRA on the Spider Text-to-SQL benchmark dataset. It takes a database schema (as DDL statements) and a natural language question as input, and generates the corresponding SQL query.
 
-- **Developed by:** [Your Name / Username]
+- **Developed by:** [Yash Shukla]
 - **Model type:** Causal Language Model (CodeLlama-7b + LoRA adapters)
 - **Language(s) (NLP):** English
 - **License:** Llama 2 Community License
@@ -143,7 +143,7 @@ Spider validation split (~1,034 examples across unseen databases).
 
 | Metric     | Value        |
 |------------|--------------|
-| Eval Loss  | [Fill after training] |
+| Eval Loss  | [0.160100] |
 
 #### Summary
 
@@ -193,8 +193,8 @@ The model learns to ground SQL generation in the provided schema, producing synt
 
 ## Model Card Authors
 
-[Your Name]
+[Yash Shukla]
 
 ## Model Card Contact
 
-[Your HuggingFace profile or email]
+[yashshuklbhadohi@gmail.com]