CodeLlama-7b-Text-to-SQL-MPS-FineTuned-V4

CodeLlama-7b Text-to-SQL-MPS-FineTuned-v4 (Fine-Tuned on Mac MPS)

Model Description

This is the 4th version of the fine-tuned CodeLlama-7b-hf specifically optimized for Text-to-SQL tasks. It was trained on a MacBook Pro M3 using MPS (Metal Performance Shaders) acceleration. This version demostrate that MPS fine tuning can achieve 71.0% accuracy based on Exact Match.

Origin & Adaptation

This project is adapted from the Microsoft "Generative AI for Beginners" Course (Chapter 18: Fine-tuning).

• Original Source: Generative AI for Beginners
• Old Version: psychologyphd/CodeLlama-7b-Text-to-SQL-mps-finetuned
• Modifications: tons of modifications to achieve this accuracy.

Evaluation Results

The model was evaluated on a held-out test set from the b-mc2/sql-create-context dataset.

Performance Notes:

• Contextual Understanding: The model shows strong performance in mapping natural language questions to complex SQL schemas provided in the context.
• Limitations: 71% accuracy indicates that while the model handles standard filter and aggregates well,
• eyeballing the results, the model struggles with table that needs to be created(index 10,39) possibly due to lack of such complex training examples,
• quotes (actually those cases should be considered correct because schema is not given),
• and applying correct function in selection (such as count).

Example Output:

• Correct Output:

🔹 Index: 0 🎯 Truth: SELECT home FROM table_name_11 WHERE date = "16 april 2008" 🤖 Gen : select home from table_name_11 where date = '16 april 2008'

🔹 Index: 1 🎯 Truth: SELECT MAX(game) FROM table_name_34 WHERE team = "celtics" AND high_assists = "hedo türkoğlu (4)" 🤖 Gen : select max(game) from table_name_34 where team = 'celtics' and high_assists = 'hedo türkoğlu (4)'

🔹 Index: 2 🎯 Truth: SELECT country FROM table_name_17 WHERE score = 72 - 66 - 72 = 210 🤖 Gen : select country from table_name_17 where score = 72 - 66 - 72 = 210

🔹 Index: 3 🎯 Truth: SELECT AVG(gold) FROM table_name_66 WHERE sport = "athletics" AND silver > 42 🤖 Gen : select avg(gold) from table_name_66 where sport = 'athletics' and silver > 42

🔹 Index: 4 🎯 Truth: SELECT club FROM table_name_36 WHERE head_coach = "casemiro mior" 🤖 Gen : select club from table_name_36 where head_coach = 'casemiro mior'

🔹 Index: 5 🎯 Truth: SELECT COUNT(high_points) FROM table_23186738_6 WHERE record = "5-17" 🤖 Gen : select count(high_points) from table_23186738_6 where record = '5-17'

🔹 Index: 6 🎯 Truth: SELECT date FROM table_name_10 WHERE away_team = "st kilda" 🤖 Gen : select date from table_name_10 where away_team = 'st kilda'

🔹 Index: 8 🎯 Truth: SELECT sail_number FROM table_25595209_1 WHERE skipper = "Matt Allen" 🤖 Gen : select sail_number from table_25595209_1 where skipper = 'matt allen'

🔹 Index: 9 🎯 Truth: SELECT venue FROM table_name_74 WHERE home_team = "melbourne" 🤖 Gen : select venue from table_name_74 where home_team = 'melbourne'

🔹 Index: 11 🎯 Truth: SELECT time FROM table_name_1 WHERE event = "k-1 the challenge 1999" 🤖 Gen : select time from table_name_1 where event = 'k-1 the challenge 1999'

🔹 Index: 12 🎯 Truth: SELECT COUNT(gold) FROM table_name_34 WHERE silver = 2 AND total < 7 🤖 Gen : select count(gold) from table_name_34 where silver = 2 and total < 7

🔹 Index: 13 🎯 Truth: SELECT player FROM table_name_92 WHERE team = "chicago bulls" 🤖 Gen : select player from table_name_92 where team = 'chicago bulls'

🔹 Index: 14 🎯 Truth: SELECT player FROM table_2679061_12 WHERE college_junior_club_team = "Litvinov (Czechoslovakia)" 🤖 Gen : select player from table_2679061_12 where college_junior_club_team = 'litvinov (czechoslovakia)'

🔹 Index: 15 🎯 Truth: SELECT DISTINCT name FROM instructor ORDER BY name 🤖 Gen : select distinct name from instructor order by name

🔹 Index: 17 🎯 Truth: SELECT school FROM table_11677691_2 WHERE college = "South Carolina" 🤖 Gen : select school from table_11677691_2 where college = 'south carolina'

🔹 Index: 19 🎯 Truth: SELECT venue FROM table_name_47 WHERE score = "0–0" 🤖 Gen : select venue from table_name_47 where score = '0–0'

🔹 Index: 20 🎯 Truth: SELECT name FROM table_name_88 WHERE nationality = "france" AND lane < 3 🤖 Gen : select name from table_name_88 where nationality = 'france' and lane < 3

🔹 Index: 21 🎯 Truth: SELECT nation FROM table_name_54 WHERE total < 19 AND bronze < 1 🤖 Gen : select nation from table_name_54 where total < 19 and bronze < 1

🔹 Index: 22 🎯 Truth: SELECT record FROM table_name_72 WHERE date = "october 27" 🤖 Gen : select record from table_name_72 where date = 'october 27'

🔹 Index: 23 🎯 Truth: SELECT score FROM table_name_33 WHERE date = "october 17, 2007" 🤖 Gen : select score from table_name_33 where date = 'october 17, 2007'

🔹 Index: 24 🎯 Truth: SELECT nationality FROM table_name_60 WHERE position = "forward" AND years_for_grizzlies = "2011" 🤖 Gen : select nationality from table_name_60 where position = 'forward' and years_for_grizzlies = '2011'

🔹 Index: 25 🎯 Truth: SELECT surface FROM table_name_45 WHERE partner = "galina voskoboeva" 🤖 Gen : select surface from table_name_45 where partner = 'galina voskoboeva'

🔹 Index: 27 🎯 Truth: SELECT rank FROM table_name_96 WHERE bronze < 7 AND nation = "norway" 🤖 Gen : select rank from table_name_96 where bronze < 7 and nation = 'norway'

🔹 Index: 28 🎯 Truth: SELECT sanskrt FROM table_name_38 WHERE japanese = "jayana" 🤖 Gen : select sanskrt from table_name_38 where japanese = 'jayana'

🔹 Index: 32 🎯 Truth: SELECT format FROM table_name_74 WHERE type = "primary" AND call_letters = "kbjs" 🤖 Gen : select format from table_name_74 where type = 'primary' and call_letters = 'kbjs'

🔹 Index: 34 🎯 Truth: SELECT MIN(byes) FROM table_name_3 WHERE against = 1946 AND wins > 2 🤖 Gen : select min(byes) from table_name_3 where against = 1946 and wins > 2

🔹 Index: 36 🎯 Truth: SELECT date FROM table_name_61 WHERE attendance = "79,431" 🤖 Gen : select date from table_name_61 where attendance = '79,431'

🔹 Index: 38 🎯 Truth: SELECT MIN(manhunt_international) FROM table_30018460_1 🤖 Gen : select min(manhunt_international) from table_30018460_1

🔹 Index: 40 🎯 Truth: SELECT COUNT() FROM device 🤖 Gen : select count() from device

🔹 Index: 42 🎯 Truth: SELECT COUNT(played) FROM table_name_42 WHERE position < 4 AND team = "witton albion" 🤖 Gen : select count(played) from table_name_42 where position < 4 and team = 'witton albion'

🔹 Index: 43 🎯 Truth: SELECT score FROM table_name_98 WHERE loss = "embree (1-2)" 🤖 Gen : select score from table_name_98 where loss = 'embree (1-2)'

🔹 Index: 44 🎯 Truth: SELECT date_of_appointment FROM table_name_91 WHERE manner_of_departure = "sacked" 🤖 Gen : select date_of_appointment from table_name_91 where manner_of_departure = 'sacked'

🔹 Index: 45 🎯 Truth: SELECT catalog FROM table_name_33 WHERE label = "grilled cheese" 🤖 Gen : select catalog from table_name_33 where label = 'grilled cheese'

🔹 Index: 46 🎯 Truth: SELECT medal FROM table_name_48 WHERE games = "2008 beijing" AND sport = "taekwondo" 🤖 Gen : select medal from table_name_48 where games = '2008 beijing' and sport = 'taekwondo'

🔹 Index: 47 🎯 Truth: SELECT engine FROM table_name_49 WHERE team = "arciero racing" 🤖 Gen : select engine from table_name_49 where team = 'arciero racing'

🔹 Index: 49 🎯 Truth: SELECT municipality FROM table_name_53 WHERE station = "benson street" 🤖 Gen : select municipality from table_name_53 where station = 'benson street'

• Wrong Output:

🔹 Index: 7 🎯 Truth: SELECT AVG(drawn) FROM table_name_45 WHERE points_1 = "33" AND goals_against = 45 AND played < 28 🤖 Gen : select avg(drawn) from table_name_45 where points_1 = 33 and goals_against = 45 and played < 28

🔹 Index: 10 🎯 Truth: SELECT major, age FROM student WHERE NOT stuid IN (SELECT T1.stuid FROM student AS T1 JOIN has_pet AS T2 ON T1.stuid = T2.stuid JOIN pets AS T3 ON T3.petid = T2.petid WHERE T3.pettype = 'cat') 🤖 Gen : select t1.major, t1.age from student as t1 join has_pet as t2 on t1.stuid = t2.stuid join pets as t3 on t2.petid = t3.petid where t3.pettype <> 'cat'

🔹 Index: 16 🎯 Truth: SELECT COUNT(goals) FROM table_name_49 WHERE goal_ratio < 0.8 AND games = 56 🤖 Gen : select goals from table_name_49 where goal_ratio < 0.8 and games = 56

🔹 Index: 18 🎯 Truth: SELECT SUM(lost) FROM table_name_86 WHERE points = 11 AND drawn > 1 🤖 Gen : select sum(lost) from table_name_86 where points > 11 and drawn > 1

🔹 Index: 26 🎯 Truth: SELECT reward FROM table_1893276_2 WHERE air_date = "October 6, 2005" 🤖 Gen : select count(reward) from table_1893276_2 where air_date = 'october 6, 2005'

🔹 Index: 29 🎯 Truth: SELECT name FROM table_name_19 WHERE dcsf_number = 3373 🤖 Gen : select name from table_name_19 where dcsf_number = '3373'

🔹 Index: 30 🎯 Truth: SELECT COUNT(average) FROM table_12094609_1 WHERE evening_gown = "8.988" 🤖 Gen : select count(average) from table_12094609_1 where evening_gown = 8.988

🔹 Index: 31 🎯 Truth: SELECT writer_s_ FROM table_17810099_3 WHERE episode__number = "14" 🤖 Gen : select writer_s_ from table_17810099_3 where episode__number = 14

🔹 Index: 33 🎯 Truth: SELECT location FROM table_name_65 WHERE round = 3 AND method = "decision" 🤖 Gen : select location from table_name_65 where round = '3' and method = 'won or loss by a decision'

🔹 Index: 35 🎯 Truth: SELECT written_by FROM table_27823359_1 WHERE season__number = "23" 🤖 Gen : select written_by from table_27823359_1 where season__number = 23

🔹 Index: 37 🎯 Truth: SELECT attendance FROM table_name_53 WHERE game_site = "bye" 🤖 Gen : select count(attendance) from table_name_53 where game_site = 'bye'

🔹 Index: 39 🎯 Truth: SELECT T1.fname, T1.lname FROM student AS T1 JOIN lives_in AS T2 ON T1.stuid = T2.stuid WHERE T2.dormid IN (SELECT T3.dormid FROM has_amenity AS T3 JOIN dorm_amenity AS T4 ON T3.amenid = T4.amenid WHERE T4.amenity_name = 'TV Lounge') 🤖 Gen : select t1.fname, t1.lname from student as t1 join lives_in as t2 on t1.stuid = t2.stuid join has_amenity as t3 on t2.dormid = t3.dormid join dorm_amenity as t4 on t3.amenid = t4.amenid where t4.amenity_name = 'tv lounge' group by t1.st

🔹 Index: 41 🎯 Truth: SELECT attendance FROM table_name_65 WHERE tie_no = "4" 🤖 Gen : select count(attendance) from table_name_65 where tie_no = '4'

🔹 Index: 48 🎯 Truth: SELECT home_team AS score FROM table_name_49 WHERE away_team = "hawthorn" 🤖 Gen : select home_team from table_name_49 where away_team = 'hawthorn'

How to Use

See how_to_use_v4.ipynb.

• mps pipeline actually works in fine tuning. For this light weighted how to use, I still use model.generate. .

Training Details

• Hardware: Mac M3 (MPS)
• Base Model: codellama/CodeLlama-7b-hf
• Dataset: b-mc2/sql-create-context
• Technique: LoRA (PEFT)