---
license: apache-2.0
pipeline_tag: text-generation
tags:
- code
---

# Model Card for T5-3B/SynQL-KaggleDBQA/Run-02

Developed by: Semiotic Labs

Model type: [Text to SQL]

License: [Apache-2.0]

Finetuned from model: [google-t5/t5-3b]

Dataset used for finetuning: [semiotic/SynQL-KaggleDBQA]

## Model Context

Example metadata can be found below, context represents the prompt that is presented to the model. Database schemas follow the encoding method proposed by [Shaw et al (2020)](https://arxiv.org/pdf/2010.12725).
```
"query": "SELECT count(*) FROM singer",
"question": "How many singers do we have?",
"context": "How many singers do we have? | concert_singer | stadium : stadium_id, location, name, capacity, highest, lowest, average | singer : singer_id, name, country, song_name, song_release_year, age, is_male | concert : concert_id, concert_name, theme, stadium_id, year | singer_in_concert : concert_id, singer_id",
"db_id": "concert_singer",
```
## Model Results

Evaluation set: [KaggleDBQA/test]

Evaluation metrics: [Execution Accuracy]

| Model | Data | Run | Execution Accuracy | 
|-------|------|-----|-------------------|
| T5-3B | semiotic/SynQL-KaggleDBQA | 00 | 0.3514 |
| T5-3B | semiotic/SynQL-KaggleDBQA | 01 | 0.3514 |
| T5-3B | semiotic/SynQL-KaggleDBQA | 02 | 0.3514 |