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README.md

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+---
+license: apache-2.0
+pipeline_tag: text-generation
+tags:
+- code
+---
+
+# Model Card for T5-3B/SynQL-KaggleDBQA/Run-01
+
+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 |
+	
+