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README.md
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@@ -26,6 +26,18 @@ The goal of the Spider challenge is to develop natural language interfaces to cr
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This dataset was used to finetune this model.
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## Citation
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Please cite the repo if you use the data or code in this repo.
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This dataset was used to finetune this model.
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### Project Description
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This project aims to use off-the-shelf large language models for text-to-SQL program sysnthesis tasks. After experimenting with various models, fine-tuning hyperparameters, and training datasets an optimal solution was identified by fine-tuning the [WizardLM/WizardCoder-15B-V1.0](https://huggingface.co/WizardLM/WizardCoder-15B-V1.0) base model using QLoRA techniques on [this](https://huggingface.co/datasets/richardr1126/spider-context-validation) customized Spider training dataset. The resultant model, [richardr1126/spider-skeleton-wizard-coder-merged](richardr1126/spider-skeleton-wizard-coder-merged), demonstrates **61% execution accuracy** when evaluated. The project utilizes a custom validation dataset that incorporates database context into the question. A live demonstration of the model is available on Hugging Face Space, facilitated by the Gradio library for user-friendly GUI.
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Note: You might have to wake the Space up if it is sleeping, should take less than 10 minutes.
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### Spider Skeleton WizardCoder - [test-suite-sql-eval](https://github.com/taoyds/test-suite-sql-eval) results
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With temperature set to 0.0, top_p set to 0.9, and top_k set to 0, the model achieves **61% execution accuracy** on the Spider test suite.
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<img src="https://raw.githubusercontent.com/cuplv/text-to-sql-wizardcoder/main/eval/plots/spiderwizard-plus-chatgpt.svg" height="300">
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<img src="https://raw.githubusercontent.com/cuplv/text-to-sql-wizardcoder/main/eval/plots/spiderwizard-vs-chatgpt.svg" height="300">
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Note: ChatGPT was evaluated with the default hyperparameters and with the system message `You are a sophisticated AI assistant capable of converting text into SQL queries. You can only output SQL, don't add any other text.`
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## Citation
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Please cite the repo if you use the data or code in this repo.
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