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@@ -47,10 +47,5 @@ The model was fine-tuned on the SPIDER dataset, which consists of natural langua
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  ### Evaluation Metrics
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  The model's performance was primarily evaluated based on accuracy in translating natural language questions to SQL queries. Additionally, SQL accuracy on the development dataset was considered for a more comprehensive assessment of the model's performance.
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- ### Citation
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- If you use or reference this model in your work, please cite the following:
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- [Reference to the original BART model, SPIDER dataset, and any additional sources relevant to the fine-tuning process]
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  ### Disclaimer
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  This model is provided as-is, without any warranties or guarantees of performance or suitability for any particular task or application. Users are encouraged to thoroughly evaluate the model's performance and suitability for their specific use case before deployment.
 
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  ### Evaluation Metrics
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  The model's performance was primarily evaluated based on accuracy in translating natural language questions to SQL queries. Additionally, SQL accuracy on the development dataset was considered for a more comprehensive assessment of the model's performance.
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  ### Disclaimer
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  This model is provided as-is, without any warranties or guarantees of performance or suitability for any particular task or application. Users are encouraged to thoroughly evaluate the model's performance and suitability for their specific use case before deployment.