Natural_Language_To_SQL_Queries

title	emoji	colorFrom	colorTo	sdk	sdk_version	app_file	run_code	pinned	license
Streanlit GEMMA 2B & Deepseek Coder 1.3B	?	gray	gray	streamlit	1.31.1	app.py	streamlit run app.py	false	Apache 2.0

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Speak2SQl

This web app is built to convert the natural language to sql queries. It is powered by 2 state of the art Transformer model,

• GEMMA 2B
• Deepseek Coder 1.3B

Both the models are fine tuned over 3000 rows and have been tested againest 100 seperate rows. The evaluation metrics used for evaluating these models are ~

• BLEU SCORE
• SCAR BLEU SCORE
• EM RATIO

Here BLEU SCORE considers the ngram probability and checks that if the predicted text matches with the actual text over n-gram, whereas EM Ratio checks that the predicted query exactly matches with the actual query or not.