Update README.md

README.md

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----
-license: cc-by-sa-4.0
----
+---
+license: cc-by-sa-4.0
+base_model:
+- codellama/CodeLlama-7b-Instruct-hf
+tags:
+- text-generation-inference
+---
+
+# Update notice
+The model weights were updated at 8 AM UTC on Sep 12, 2024. 
+
+# Model Card for DR-TEXT2SQL-CodeLlama2-7B-Chinese
+A capable large language model for natural language to SQL generation.
+
+# Language
+
+Chinese
+
+## Model Details
+### Model Description
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+Developed by: eglym
+Model type: [Text to SQL]
+License: [CC-by-SA-4.0]
+Finetuned from model: [CodeLlama-7B]
+
+Uses
+This model is intended to be used by non-technical users to understand data inside their SQL databases. It is meant as an analytics tool, and not as a database admin tool.
+
+This model has not been trained to reject malicious requests from users with write access to databases, and should only be used by users with read-only access.
+
+How to Get Started with the Model
+Use the code here to get started with the model.
+
+Prompt
+Please use the following prompt for optimal results. Please remember to use do_sample=False and num_beams=4 for optimal results.
+
+### Task
+Generate a SQL query to answer user_question.
+### Answer
+Given the database schema, here is the SQL query that realize user_question.
+
+Evaluation
+This model was evaluated on SQL-Eval, a PostgreSQL based evaluation framework developed by Defog for testing and alignment of model capabilities.
+
+You can read more about the methodology behind SQLEval here.
+
+Results
+We classified each generated question into one of 6 categories. The table displays the percentage of questions answered correctly by each model, broken down by category.
+```bash
+        easy    medium    hard    extra    all
+count   250     440       174     170      1034
+compare etype exec
+===================== EXECUTION ACCURACY =====================
+exec    0.732   0.495     0.368   0.224    0.486
+```