ggml
sql
spider
text-to-sql
sql finetune
Eval Results
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@@ -27,6 +27,18 @@ 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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  ## Citations
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  ```
 
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  This dataset was used to finetune this model.
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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 dev set.
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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:
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+ - 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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+ - Both models were evaluated with `--plug_value` in `evaluation.py` using the Spider dev set with database context.
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+ - `--plug_value`: If set, the gold value will be plugged into the predicted query. This is suitable if your model does not predict values. This is set to `False` by default.
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  ## Citations
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  ```