Ships the two pending code changes alongside the memory that describes them:
train_voice_lora.py gains --eval-steps/--save-steps (the 3-epoch pilot overfit
with per-epoch eval and save_strategy="no", so the minimum was neither visible
nor recoverable), and the althing post-office compose is pinned to 3.6.2.
Index rewritten: in-flight compressed from 176 lines to the live state, three
detail files added for R49 D1-D3, the MeroMero four-failure chain, and the
althing rollout. Seven closed pre-08-27 entries archived; the guards held back
the rest because they carry open deferred pointers.
The LossLog callback filtered on `"loss" in logs`. Trainer emits eval under
`eval_loss` with no `loss` key, so every eval record was discarded and
loss-series.json showed zero eval points while the log a metre away carried
`eval_loss: 3.198`. An artefact that omits data which demonstrably exists reads as
"no eval was run" rather than "the collector dropped it", which is the failure mode
that costs someone a re-run.
Collector now accepts either key. Seed 2 gets it from launch; seed 1 is already
running with the old code, so recover_eval_series.py parses the eval records back
out of its log -- the data was printed, not lost -- and the chain runs that
recovery before cutting the generation arms, so the artefact is complete before
anything reads it.
The two seeds therefore differ in logging code but not in training math: the
callback only affects what is recorded, never what is computed, so the weight
trajectories remain comparable. Noting it because a difference between the two
arms whose spread sets the decision threshold is worth stating even when it is
provably inert.
Entity resolution, deterministic rename augmentation, packing and the pilot
trainer. Qwen3-0.6B-Base is training now: 507 steps, 11.2 s/it, ~1h35m.
D2 -- gender resolution is TITLE-FIRST, and that is a change from F02's method
rather than a port of it. F02 used pronoun proximity and recorded that it is
structurally blind to the first-person narrator, whose name appears mainly in
dialogue surrounded by other people's pronouns. Measured here, proximity called
JANE MALE -- the narrator of Jane Eyre and the single worst entity to get wrong.
Titles have no such blind spot: Miss Eyre, Mrs. Fairfax, Mr. Rochester, Madame
Beck, M. Paul, and a 19th-century novel is saturated with them. Measured: 16
entities resolved, zero wrong, every ambiguous case landing on HELD -- shared
family surnames like Helstone and Pelet genuinely belong to both a man and a
woman and hold as they should.
Held means ungendered, not unrenamed. A HELD entity is still renamed, from the
gender-neutral surname pool, because the operator's Yarros directive was "rename
all proper nouns" and holding a place leaks it -- Thornfield appears 100 times in
Jane Eyre and is as author-specific as Riders Quadrant was. Substituting a neutral
token makes no gender claim, so no gender claim can be wrong.
D3 -- pool is French + English per the operator, weighted per work by setting:
Brussels novels 60% French, Yorkshire novels 25%. Locales restricted to
fr_FR/fr_BE/en_GB/en_IE; en_US and en_AU carry modern surnames that are wrong
register for the 1840s. The pool is filtered against Brontë's own 75-letter
alphabet, so French accents stay and Czech/Latvian marks do not.
Two collision defects found by running the leak gate rather than trusting it:
`Burns` and `Marie` were drawn as replacements while being Brontë characters --
F02's collision filter was built against Yarros and does not carry -- and then
`Pierre-Yves` passed a whole-string filter while `Pierre` (Mademoiselle St.
Pierre) is a Villette character. The filter now compares by COMPONENT. Final gate:
0 of 203 source entities survive in any of 24 copy-files.
Trainer records what the run RESOLVED to rather than what it requested -- attention
implementation, dtype, device, corpus sha and harness cleanliness are read back off
the live objects. transformers 5.x has dropped warmup_ratio, caught by reading the
signature after the first launch failed on it; the 3% warmup is computed into
warmup_steps instead.
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