---
library_name: transformers
datasets:
- kristiannordby/5000_rows-SQL
- kristiannordby/1000_rows-SQL
language:
- en
metrics:
- exact_match
base_model:
- juierror/flan-t5-text2sql-with-schema-v2
---

# Model Card for Model ID

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Text-to-SQL for querying the army aviation maintenance records database. 


## Model Details
This model was finetuned on 6000 rows of question-query pairs. It provided a 100% exact match rate to our evaluation dataset.
### Model Description

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

- **Developed by:** Kristian Nordby
- **Shared by [optional]:** [More Information Needed]
- **Model type:** T5
- **Language(s) (NLP):** Python, SQL, English
- **Finetuned from model:** junierror/flan-t5-text2sql-with-schema-v2

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## Uses

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### Direct Use

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### Downstream Use [optional]

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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### Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

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## Training Details

### Training Data

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### Training Procedure

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#### Training Hyperparameters

- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

#### Speeds, Sizes, Times [optional]

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## Evaluation

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### Testing Data, Factors & Metrics

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#### Factors

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#### Metrics

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### Results

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#### Summary



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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

- **Hardware Type:** [More Information Needed]
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## Technical Specifications [optional]

### Model Architecture and Objective

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## Citation [optional]

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## Glossary [optional]

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