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README.md
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LLM instruction finetuned for Text-to-SQL task.
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [dataeaze systems pvt ltd](https://www.dataeaze.io/)
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- **Funded by :** [dataeaze systems pvt ltd](https://www.dataeaze.io/)
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- **Shared by :** [dataeaze systems pvt ltd](https://www.dataeaze.io/)
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- **Model type:** LlamaForCausalLM
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- **Language(s) (NLP):** English
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- **License:** [cc-by-nc-sa-4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en) Model is made available under non-commercial use for research purposes only. For commercial usage please connect at [email protected]
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- **Finetuned from model :** [CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf)
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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Model can be used a tool to convert queries in expressed in natural language (English) to SQL statements
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### Downstream Use
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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The model could be used as the initial stage in a data analytics / business intelligence application pipeline.
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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Model has been fine tuned on a specific task of converting English language statements to SQL queries.
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Any use beyond this is not guaranteed to be accurate.
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- **Bias:** Trained for English language only.
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- **Risk:** Guardrails are reliant on the base models CodeLlama (Llama2). Finetuning could impact this behaviour.
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- **Limitations:** Intended to be a small model optimised for inference. Does not provide SoTA results on accuracy.
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## How to Get Started with the Model
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```
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[SPIDER dataset Test Set](https://yale-lily.github.io/spider)
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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SQL queries are matched against the correct answer, with two types of evaluation
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* Execution with Values
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* Exact Set Match without Values
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### Results
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name: Spider 1.0 - Leaderboard
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url: https://yale-lily.github.io/spider
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```
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## Model Card Authors
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* Suyash Chougule
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* Chittaranjan Rathod
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* Sourabh Daptardar
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## Model Card Contact
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"dataeaze systems" <[email protected]>
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LLM instruction finetuned for Text-to-SQL task.
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## How to Get Started with the Model
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```
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### Results
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name: Spider 1.0 - Leaderboard
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url: https://yale-lily.github.io/spider
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```
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