qmd/finetune/data
Tobi Lutke 5ab78d00a2
Add HF Jobs scripts, temporal query examples, and training results
- jobs/sft.py and jobs/grpo.py: self-contained scripts for
  `hf jobs uv run` (no local GPU needed)
- 12 temporal/recency query examples in training data (e.g. "recent
  news about Shopify" -> lex with years 2025/2026)
- 4 temporal test queries in evals/queries.txt
- README updated with HF Jobs workflow, training results, and
  updated file structure
- Remove .beads tracking

SFT and GRPO successfully trained on A10G via HF Jobs:
  SFT: eval loss 0.321, token accuracy 92.4%
  GRPO: mean reward 0.757, 200 steps, KL 0.00048

Co-Authored-By: Claude (claude-fudge-eap-cc) <noreply@anthropic.com>
2026-01-28 15:46:44 -08:00
..
train Refactor finetune folder: train/rl scripts with YAML configs 2026-01-24 20:26:46 -05:00
qmd_expansion.jsonl Add HF Jobs scripts, temporal query examples, and training results 2026-01-28 15:46:44 -08:00