PEFT
TensorBoard
sql
spider
text-to-sql
sql fine-tune
LoRA
QLoRa
adapter
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  - Finetuning was performed using QLoRa on a single RTX6000 48GB.
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  - If you want the merged model: [richardr1126/spider-natsql-wizard-coder-merged](https://huggingface.co/richardr1126/spider-natsql-wizard-coder-merged)
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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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  - Finetuning was performed using QLoRa on a single RTX6000 48GB.
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  - If you want the merged model: [richardr1126/spider-natsql-wizard-coder-merged](https://huggingface.co/richardr1126/spider-natsql-wizard-coder-merged)
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+ ### Spider Dataset
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+ [Spider](https://arxiv.org/abs/1809.08887) is a large-scale complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 Yale students
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+ The goal of the Spider challenge is to develop natural language interfaces to cross-domain databases.
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+ This dataset was used to finetune this model.
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+ ### NatSQL
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+ [NatSQL](https://arxiv.org/abs/2109.05153) is an intermediate representation for SQL that simplifies the queries and reduces the mismatch between
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+ natural language and SQL. NatSQL preserves the core functionalities of SQL, but removes some clauses and keywords
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+ that are hard to infer from natural language descriptions. NatSQL also makes schema linking easier by reducing the
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+ number of schema items to predict. NatSQL can be easily converted to executable SQL queries and can improve the
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+ performance of text-to-SQL models.
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  ## Citation
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  Please cite the repo if you use the data or code in this repo.