# Model Card for Model ID Fine Tuning using Spider Some passing the schema with examples and some, if no longer than 2048 tokens, with sql examples, like: Below are some sample questions and their corresponding SQL queries that might help you answer the user's question: [QUESTION]What is the number of cars with a greater accelerate than the one with the most horsepower?[/QUESTION] [SQL]SELECT COUNT(*) FROM CARS_DATA WHERE Accelerate > (SELECT Accelerate FROM CARS_DATA ORDER BY Horsepower DESC LIMIT 1);[/SQL] #<|ddl|> The query will run on a database with the following schema: CREATE TABLE car_makers ( "Id" INTEGER, "Maker" TEXT, "FullName" TEXT, "Country" TEXT, PRIMARY KEY ("Id"), FOREIGN KEY("Country") REFERENCES countries ("CountryId") ) /* 2 rows from car_makers table: Id Maker FullName Country 1 amc American Motor Company 1 2 volkswagen Volkswagen 2 */ Max sequence length: 2048 After filtering the dataset, there are 7665 rows remaining Prompt: ``` """# <|system|> You are a chatbot tasked with responding to questions about an SQLite database. Your responses must always consist of valid SQL code, and only that. If you are unable to generate SQL for a question, respond with 'I do not know'.{sql_example} # <|ddl|> The query will run on a database with the following schema: {ddl} # <|user|> {question} # <|assistant|> [SQL]""" ``` ## 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:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses ### Direct Use [More Information Needed] ### Downstream Use [optional] [More Information Needed] ### Out-of-Scope Use [More Information Needed] ## Bias, Risks, and Limitations [More Information Needed] ### Recommendations Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data [More Information Needed] ### Training Procedure #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] #### Speeds, Sizes, Times [optional] [More Information Needed] ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data [More Information Needed] #### Factors [More Information Needed] #### Metrics [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] [More Information Needed] ## Environmental Impact Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]

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