Model: ds7619tz/fine-tuned-dataset
Author: ds7619tz
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:5000, loss:MultipleNegativesRankingLoss, arxiv:1908.10084, arxiv:1705.00652, base_model:sentence-transformers/all-MiniLM-L6-v2, base_model:finetune:sentence-transformers/all-MiniLM-L6-v2, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/all-MiniLM-L6-v2
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:5000, loss:MultipleNegativesRankingLoss
base_model: sentence-transformers/all-MiniLM-L6-v2
widget: source_sentence: What is the id and name of the browser that is compatible with the most web accelerators?
sentences: CREATE TABLE TRANSACTIONS (investor_id VARCHAR); CREATE TABLE INVESTORS (Investor_details VARCHAR, investor_id VARCHAR), CREATE TABLE browser (id VARCHAR, name VARCHAR); CREATE TABLE accelerator_compatible_browser (browser_id VARCHAR), CREATE TABLE STUDENT (Major VARCHAR), source_sentence: Show different type codes of products and the number of products with each type code.
sentences: CREATE TABLE affected_region (storm_id VARCHAR, number_city_affected INTEGER); CREATE TABLE storm (name VARCHAR, storm_id VARCHAR), CREATE TABLE products (product_name VARCHAR, product_category_code VARCHAR), CREATE TABLE Products (Product_Type_Code VARCHAR), source_sentence: List venues of all matches in the order of their dates starting from the most recent one.
sentences: CREATE TABLE Orders (order_id VARCHAR, order_details VARCHAR); CREATE TABLE Invoices (order_id VARCHAR), CREATE TABLE MATCH (venue VARCHAR, date VARCHAR), CREATE TABLE Course_Authors_and_Tutors (login_name VARCHAR, family_name VARCHAR), source_sentence: Show aircraft names and number of flights for each aircraft.
sentences: CREATE TABLE Documents_with_expenses (document_id VARCHAR, budget_type_code VARCHAR), CREATE TABLE farm_competition (Official_Name VARCHAR, City_ID VARCHAR, Host_city_ID VARCHAR); CREATE TABLE city (Official_Name VARCHAR, City_ID VARCHAR, Host_city_ID VARCHAR), CREATE TABLE Aircraft (name VARCHAR, aid VARCHAR); CREATE TABLE Flight (aid VARCHAR), source_sentence: Find the name of all customers.
sentences: CREATE TABLE country (Name VARCHAR, SurfaceArea INTEGER, Continent VARCHAR), CREATE TABLE elimination (team VARCHAR), CREATE TABLE customers (customer_name VARCHAR)
pipeline_tag: sentence-similarity
library_name: sentence-transformers
Likes: 0 | All-time downloads: 33
Created: 2025-07-01 10:41:55