| title | Streanlit GEMMA 2B & Deepseek Coder 1.3B |
|---|---|
| emoji | 📉 |
| colorFrom | gray |
| colorTo | gray |
| sdk | streamlit |
| sdk_version | 1.31.1 |
| app_file | app.py |
| run_code | streamlit run app.py |
| pinned | false |
| license | Apache 2.0 |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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.