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  ---
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- license: gemma
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- library_name: peft
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- tags:
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- - trl
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- - sft
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- - generated_from_trainer
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- base_model: google/gemma-2b
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- model-index:
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- - name: text_to_sql
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- results: []
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- metrics:
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- - bleu
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- pipeline_tag: text2text-generation
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  inference:
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  parameters:
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  do_sample: false
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  max_length: 200
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  widget:
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- - text: "CREATE TABLE stadium (\n stadium_id number,\n location text,\n name text,\n capacity number,\n)\n\n-- Using valid SQLite, answer the following questions for the tables provided above.\n\n-- how many stadiums in total?\n\nSELECT"
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- example_title: "Number stadiums"
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- - text: "CREATE TABLE work_orders ( ID NUMBER, CREATED_AT TEXT, COST FLOAT, INVOICE_AMOUNT FLOAT, IS_DUE BOOLEAN, IS_OPEN BOOLEAN, IS_OVERDUE BOOLEAN, COUNTRY_NAME TEXT, )\n\n-- Using valid SQLite, answer the following questions for the tables provided above.\n\n-- how many work orders are open?\n\nSELECT"
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- example_title: "Open work orders"
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- - text: "CREATE TABLE stadium ( stadium_id number, location text, name text, capacity number, highest number, lowest number, average number )\n\nCREATE TABLE singer ( singer_id number, name text, country text, song_name text, song_release_year text, age number, is_male others )\n\nCREATE TABLE concert ( concert_id number, concert_name text, theme text, stadium_id text, year text )\n\nCREATE TABLE singer_in_concert ( concert_id number, singer_id text )\n\n-- Using valid SQLite, answer the following questions for the tables provided above.\n\n-- What is the maximum, the average, and the minimum capacity of stadiums ?\n\nSELECT"
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- example_title: "Stadium capacity"
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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  ---
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+ license: bsd-3-clause
 
 
 
 
 
 
 
 
 
 
 
 
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  inference:
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  parameters:
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  do_sample: false
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  max_length: 200
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  widget:
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+ - text: >-
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+ CREATE TABLE stadium (
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+ stadium_id number,
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+ location text,
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+ name text,
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+ capacity number,
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+ )
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+
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+
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+ -- Using valid SQLite, answer the following questions for the tables
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+ provided above.
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+
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+
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+ -- how many stadiums in total?
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+
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+
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+ SELECT
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+ example_title: Number stadiums
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+ - text: >-
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+ CREATE TABLE work_orders ( ID NUMBER, CREATED_AT TEXT, COST FLOAT,
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+ INVOICE_AMOUNT FLOAT, IS_DUE BOOLEAN, IS_OPEN BOOLEAN, IS_OVERDUE BOOLEAN,
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+ COUNTRY_NAME TEXT, )
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+
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+
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+ -- Using valid SQLite, answer the following questions for the tables
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+ provided above.
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+
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+
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+ -- how many work orders are open?
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+
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+
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+ SELECT
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+ example_title: Open work orders
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+ - text: >-
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+ CREATE TABLE stadium ( stadium_id number, location text, name text, capacity
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+ number, highest number, lowest number, average number )
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+
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+ CREATE TABLE singer ( singer_id number, name text, country text, song_name
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+ text, song_release_year text, age number, is_male others )
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+
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+
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+ CREATE TABLE concert ( concert_id number, concert_name text, theme text,
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+ stadium_id text, year text )
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+
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+
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+ CREATE TABLE singer_in_concert ( concert_id number, singer_id text )
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+
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+
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+ -- Using valid SQLite, answer the following questions for the tables
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+ provided above.
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+
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+
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+ -- What is the maximum, the average, and the minimum capacity of stadiums ?
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+
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+
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+ SELECT
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+ example_title: Stadium capacity
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+ pipeline_tag: text2text-generation
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+ ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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