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3 Commits

Author SHA1 Message Date
0f90602339 Add per-combo pipeline scripts, fix eval semantics, exclude large artifacts
Pipeline (stages 1 -> 4-1) can now be run in order from each stage folder.

Stage scripts:
- 2-1: make SEP/FocalLora prep portable (derive paths from __file__ instead of
  hardcoded /home/hujk/...) and add prepare_head_ident_dataset.sh runner.
  Verified the SEP converter reproduces the committed jsonl byte-for-byte.
- 2-2: unify the four Ident_IH_ALL_1-4_<model>.sh scripts (modernise llama to
  conda hook + $ROOT/models; add the missing FocalLora step to qwen3-4b/8b so
  focallora.json gets generated for them too).
- 2-3: default TARGETS now covers the three curves from the README
  (all_roc_inst_0.1, user_roc_inst_0.1, focallora).
- 3-2: add combos/ with 24 scripts (4 models x {pbs,nts,nts_wam} x {squad,tri}),
  head ranking pinned to all_roc_inst_0.1, TOPK overridable.
- 4-1: add eval_single.sh driver + combos/ with 24 cross-eval wrappers
  (squad-trained -> tri-eval and vice versa), reusing the --eval-only path.

Eval semantics:
- Judge ASR before UTIL: a response carrying the injected answer now counts as
  attacked even when it also contains the correct answer. This changes the
  metric, so old training_log.csv rows are not comparable.
- Add --dev-holdout: reserve the last N source rows as a dev slice; training
  drops them and the in-training quick eval uses only them. Previously the
  quick eval silently defaulted to the squad evaluation set, which contradicted
  the README and self-contaminated squad-trained runs.
- train_attn_kl_clean.sh now passes --eval-data-path/--eval-topicattack-path.
- Add --eval-step0 to log an untuned-baseline row before any weight update.

Housekeeping:
- Quarantine superseded entry points under legacy/ (2-2 single-step wrappers,
  3-2 old _tuning.fix.* wrappers, 3-1 auxiliary), each with a README.
- Fix .gitignore: the model_score rule was anchored at the repo root and never
  matched Codes/..., so ~26GB of intermediates had been staged. Now excludes
  *.pkl (~25GB), heads_sorted_eval/ (~690MB), outputs_lora/ checkpoints
  (~3.2GB) and pycache. heads_sorted/ and head_scoring_combined.json are kept
  deliberately: they are small and are the HEAD_PATH inputs stage 3-2 needs.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-17 13:58:36 +08:00
01bb07dba8 Flatten 1_raw_dataset submodules into plain tracked files
FocalLoRA, Should-It-Be-Executed-Or-Processed, and topicattack were
nested git repos (with an inner FocalLoRA/data/FocalLoRA/.git as well).
Drop their .git history and track the contents directly in this repo
instead of as submodules/gitlinks.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-07 19:06:09 +08:00
6edf7da2b7 first commit 2026-07-07 19:03:00 +08:00