pages/index.md

Text-to-SQL Post-Training

A multi-week campaign to post-train a small open model into a strong text-to-SQL generator, scored by execution accuracy (run gold vs predicted SQL against a real SQLite DB). Click an experiment to open its page.

Experiments

Status	Experiment	Owner
Week 1 — Foundations & baselines
done	Build execution-accuracy eval harness	Ana
done	Zero-shot baselines across open models	Ana
done	Clean data: dedup + dialect filtering	Ana
done	QLoRA SFT baseline	Ravi
in-progress	LR & LoRA-rank sweep	Ravi
planned	Prompt format ablation (chat vs completion)	to assign
Week 2 — Scaling & data
in-progress	Synthetic data augmentation (self-instruct)	Ravi
planned	Add Spider + WikiSQL to the eval suite	Ana
planned	Curriculum: order by join complexity	to assign
planned	Distill from a larger open model	Ravi
blocked	Long-context schema eval @32k	to assign
Week 3 — Hardening & release
planned	Full fine-tune vs LoRA comparison	Ravi
planned	Error taxonomy & failure analysis	Ana
planned	CPU latency & throughput	to assign
planned	Final model card + release	Ana