{"id":22348772,"url":"https://github.com/arya920/natural_language_to_sql_queries","last_synced_at":"2025-03-26T11:15:27.443Z","repository":{"id":250107168,"uuid":"833486314","full_name":"Arya920/Natural_Language_To_SQL_Queries","owner":"Arya920","description":"The task of this project is to Convert Natural Language to SQL Queries","archived":false,"fork":false,"pushed_at":"2024-08-02T11:42:45.000Z","size":2771,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-31T12:30:07.856Z","etag":null,"topics":["deepseek-coder","gemma-2b","huggingface-datasets","huggingface-transformer","lora","mysql-database","peft-fine-tuning-llm","sqllite","streamlit","transformers"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Arya920.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-07-25T06:44:16.000Z","updated_at":"2024-10-30T18:33:36.000Z","dependencies_parsed_at":"2025-01-31T12:38:27.885Z","dependency_job_id":null,"html_url":"https://github.com/Arya920/Natural_Language_To_SQL_Queries","commit_stats":null,"previous_names":["arya920/natural_language_to_sql_queries"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Arya920%2FNatural_Language_To_SQL_Queries","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Arya920%2FNatural_Language_To_SQL_Queries/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Arya920%2FNatural_Language_To_SQL_Queries/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Arya920%2FNatural_Language_To_SQL_Queries/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Arya920","download_url":"https://codeload.github.com/Arya920/Natural_Language_To_SQL_Queries/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245641437,"owners_count":20648644,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deepseek-coder","gemma-2b","huggingface-datasets","huggingface-transformer","lora","mysql-database","peft-fine-tuning-llm","sqllite","streamlit","transformers"],"created_at":"2024-12-04T11:06:26.395Z","updated_at":"2025-03-26T11:15:27.412Z","avatar_url":"https://github.com/Arya920.png","language":"Python","readme":"---\ntitle: Streanlit GEMMA 2B \u0026 Deepseek Coder 1.3B\nemoji: 📉\ncolorFrom: gray\ncolorTo: gray\nsdk: streamlit\nsdk_version: 1.31.1\napp_file: app.py\nrun_code: streamlit run app.py\npinned: false\nlicense: Apache 2.0\n---\n\nCheck out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference\n### Speak2SQl \nThis web app is built to convert the natural language to sql queries. It is powered by 2 state of the art Transformer model, \n- GEMMA 2B\n- Deepseek Coder 1.3B\n\nBoth 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 ~ \n- BLEU SCORE\n- SCAR BLEU SCORE\n- EM RATIO\n\nHere 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. ","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farya920%2Fnatural_language_to_sql_queries","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farya920%2Fnatural_language_to_sql_queries","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farya920%2Fnatural_language_to_sql_queries/lists"}