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internal proof

Model evaluation bench for the Kuku Yalanji training run. This page tracks the full v8-v20 diagnostic ladder, saved outputs, downloads, and resource profiles from each RunPod run.

Where the model is after 48 hours

The training pipeline works. v20 trained the full candidate corpus and fixed the length-compression failure, but it also proved that scale alone is not enough. The hard problem is now product routing, mixture control, and faithful generalization, not GPU plumbing.

Saved evals only

Exact known text

lookup-first

Bible references, DB usage examples, and elder-shared sentence pairs should come from the approved source table, not generation.

Bible draft

v12.0

Best current Bible-draft fallback by heldout Bible chrF; still not faithful canonical reproduction.

Usage draft

v10.0

Best current heldout DB/general usage signal. Newer balanced runs have not beaten it.

Latest research

v20.0

Full-candidate-corpus diagnostic; length compression is fixed, but faithful generalization is still unresolved.

Latest run

Run
v20 full candidate corpus
Rows
35,394 train / 4,433 validation / 4,397 test
Corpus shape
20,911 source pairs expanded into tagged tasks
Training
1h52m48s trainer time, 0.98 steps/s
RunPod cost
about $3.51

Evaluation release

Live inference is intentionally off. Each release is reviewed through saved evaluation artifacts, exact-match counts, chrF/BLEU scores, resource usage, and downloadable model files.

Selected release
v18.0-usage-elder-sentence-continuation-from-v10
Direction
eng-gvn
Saved eval rows
127
Release role
Elder sentence-pair memorization proof artifact

Current eval summary

Kuku Yalanji · v18.0-usage-elder-sentence-continuation-from-v10

BLEU
100.0
chrF
100.0
Rows
127.0

This page shows reproducible eval artifacts only. Approved Bible text, database examples, and elder-shared sentence pairs should remain lookup-first in the product.

Dataset

v18.0 DB usage + 43 elder-shared sentence pairs, oversampled

Training rows

1,976

GPU

NVIDIA RTX PRO 4500 Blackwell

Artifacts

model public · adapter public

Release verdict

Exactly memorized all elder-shared sentence pairs, but regressed Bible and did not beat v10 on heldout usage.

  • Proved the 16 uploaded source pages could be transcribed into 43 useful supervised sentence-pair rows.
  • Route-specific artifact: good proof for elder sentence-pair data ingestion, not a general model winner.

Saved test outputs

Held-out examples from the saved evaluation artifacts for this model release.

Sources: Elder-shared sentence-pair predictions, Heldout usage predictions

BLEU
100.0
chrF
100.0
Rows
127.0
SourceModel outputReference

Elder-shared sentence-pair predictions

<translate> When Bama first came to the rainforest country of Manjal Dimbi, it was new and strange. They did not know the landscape or what was good to eat or what was poisonous.

Yalayalaku Bama jakalba kadarin madjanga Manjal Dimbinga jana ngangkan ngangkarin bubuku, binal kari bubuku, binal kari wanyu mayi ngulkurr nukanka, wanyu mayi ngulkurr-kari nukanka.

Yalayalaku Bama jakalba kadarin madjanga Manjal Dimbinga jana ngangkan ngangkarin bubuku, binal kari bubuku, binal kari wanyu mayi ngulkurr nukanka, wanyu mayi ngulkurr-kari nukanka.

Elder-shared sentence-pair predictions

<translate> An old man holding his spear and woomera came to Bama. He had long grey hair and long fingernails. His body shone like lightning.

Nyubun mukul dingkar, kalka, milbayarr maranga kujil kujil, jananda kadan. Nyungu mungka kalbay, bingaji, nyungu biri maranga kalbay, nyungu bangkarr balbajin yala balbay balbajinya.

Nyubun mukul dingkar, kalka, milbayarr maranga kujil kujil, jananda kadan. Nyungu mungka kalbay, bingaji, nyungu biri maranga kalbay, nyungu bangkarr balbajin yala balbay balbajinya.

Elder-shared sentence-pair predictions

<translate> That old man's name was Kubirri. He came to teach our Ancestors how to live in a good way in the rainforest country.

Yinya mukul dingkar burri Kubirri, nyulu kadan bama binal-bunganka, wanjarrku ngulkurrku juranku bundarinka madjanga.

Yinya mukul dingkar burri Kubirri, nyulu kadan bama binal-bunganka, wanjarrku ngulkurrku juranku bundarinka madjanga.

Heldout usage predictions

<glossary> junumundajin ; type=intransitive-verb ; domain=manipulation-impact <usage_example> The bananas are joined together

Banana jununumundajin

Mayi banana junumundajin

Heldout usage predictions

<glossary> nyinki ; type=noun ; domain=body-part <usage_example> I saw him out of the corner of my eye

Ngayu nyungun nyinki nyajin

Ngayu nyungun nyinkibu nyajin

Heldout usage predictions

<glossary> kimil ; type=noun ; domain=flora-plant <usage_example> I killed a snake with a stick

ngayu kalakibu kimil kunin

Ngayu jarba kunin kimilda

Metrics

train loss
0.2773
train usage elder sentence pair chrf
100.0
train usage elder sentence pair exact
408.0
elder sentence pair chrf
100.0
elder sentence pair exact
43.0
heldout usage chrf
54.5
heldout usage exact
3.000
heldout bible direct chrf
41.4
heldout bible ref chrf
41.3
heldout all chrf
41.7

Resource profile

Average GPU
36.4%
Max GPU
83%
Mean VRAM
9,975 MiB
Max VRAM
13,928 MiB
Max power
178.37 W
Cost class
$0.74/hr
Estimated run cost
n/a

Version ladder

Every material training branch from the last two days is listed here so the model line is auditable. chrF is useful for comparison, but exact approved known resources stay lookup-first.

23 releases
VersionRoleBible refUsageElder rowsDecisionLinks
v24.3-joint-lexeme-dose29-s3598-20260715

v24.3-joint-lexeme-dose29-s3598-20260715

Current runtime-verified Kuku Yalanji research candidate for closed-set lexical reconstruction and separately labelled sentence drafts

runtime verified research candidate

n/a53.170/43

The governed training-overlapping lexical gate and every frozen development retention check passed. ADVANCE authorizes further research, not unrestricted deployment: the model remains 0/43 exact on the elder diagnostic and lacks speaker-diverse human evaluation.

v21.2-claude-balanced-replay-guarded-20260714

v21.2-claude-balanced-replay-guarded-20260714

Current Kuku Yalanji research model of record: frozen v21.2 weights with validated guarded decoding; CPU inference is intentionally unloaded

research only

43.8447.960/43

Retain the exact published v21.2 weights and guarded decoder as reproducible research artifacts, but do not load them for public CPU inference while natural elder-register transfer remains unsolved. The homepage uses separately labelled dictionary-context prompting until a stronger RunPod candidate clears the frozen linguistic and safety gates and receives appropriate speaker review.

v23.0-attested-narrative-adaptation-failed

v23.0-attested-narrative-adaptation-failed

Rejected three-seed attested-narrative adaptation retained as compact negative evidence

negative result

n/an/an/a

Do not promote. Seed 73 improved the held-out Text 3 corpus chrF++ point estimate by 0.6414, below the preregistered +1.0 floor; its paired interval crossed zero, untagged synthetic repetition worsened, and isolated lexical reconstruction fell to 46/297.

v22.0-step-matched-replay-3120-failed

v22.0-step-matched-replay-3120-failed

Rejected one-variable replay-exposure experiment retained as negative evidence

negative result

n/an/an/a

Do not promote. Step 3,120 failed the frozen greedy checkpoint gate because tagged synthetic repeated-segment rows were 37 against a maximum of 25, and paired comparison showed lower tagged synthetic, untagged synthetic, and dictionary-usage agreement than the final v21.2 step 4,155 checkpoint.

v21.2-claude-balanced-replay-v2-candidate

v21.2-claude-balanced-replay-v2-candidate

Historical v21.2 weights release; superseded for serving by the guarded-policy release without changing weights

research only

43.9147.140/43

Balanced replay preserves synthetic performance while materially recovering dictionary-usage and Bible retention relative to v21.1. Natural elder-register transfer remains unsolved, and synthetic morpheme loops remain a hard safety failure; serve only as a clearly labelled research draft pending speaker review.

v21.1-codex-synthetic-direct-v2-candidate

v21.1-codex-synthetic-direct-v2-candidate

Kuku Yalanji translation model v2 candidate

research only

28.7634.400/43

The model learned the synthetic treatment and remained stable without the task tag, but elder-shared, dictionary-usage, and Bible controls regressed severely. Preserve as a research artifact; keep retrieval-first routing and require balanced replay plus speaker review before promotion.

v20.0-full-candidate-corpus-gvn

v20.0-full-candidate-corpus-gvn

Full-candidate-corpus diagnostic artifact

internal proof

39.3943.260/43

Full-corpus v20 fixed the length-compression failure and completed the 35k-row diagnostic, but it is not a faithful general model: Bible heldout stays near 39 chrF, heldout usage is 43.26 chrF, and elder-shared sentence pairs regressed to 0/43 exact.

v19.0-balanced-replay-from-v12-gvn

v19.0-balanced-replay-from-v12-gvn

Balanced replay artifact

internal proof

44.2953.0329/43

Restores near-v12 Bible heldout while adding elder sentence-pair/usage signal, but does not replace v10 usage or v12 Bible routing.

v18.0-usage-elder-sentence-continuation-from-v10

v18.0-usage-elder-sentence-continuation-from-v10

Elder sentence-pair memorization proof artifact

internal proof

41.2554.5243/43

Exactly memorized all elder-shared sentence pairs, but regressed Bible and did not beat v10 on heldout usage.

v15.0-soft-lexical-hint-bible-gvn-token

v15.0-soft-lexical-hint-bible-gvn-token

Lexical-hint diagnostic

negative result

43.72n/an/a

Reproduced train rows strongly, but did not beat v12 on heldout Bible.

v13.0-retrieval-context-bible-gvn-token

v13.0-retrieval-context-bible-gvn-token

Retrieval-prefix diagnostic

negative result

29.71n/an/a

Retrieval context as an NLLB source prefix was harmful; heldout Bible dropped sharply.

v12.0-tagged-direct-plus-reference-bible-gvn-token

v12.0-tagged-direct-plus-reference-bible-gvn-token

Current Bible draft fallback

route candidate

44.36n/an/a

Best Bible draft heldout score before v19, but still zero exact heldout reproduction.

v11.0-byt5-bible-control-32row

v11.0-byt5-bible-control-32row

Byte-model control

negative result

5.71n/an/a

Failed the tiny overfit/control path; NLLB/LoRA remains the proven memorizing path for now.

v10.0-tagged-bible-plus-glossary-usage-tpi

v10.0-tagged-bible-plus-glossary-usage-tpi

Current usage/general draft fallback

route candidate

43.2956.18n/a

Best heldout usage signal so far; weaker Bible than v12/v19.

v9.8-tagged-bible-plus-db-usage-tpi

v9.8-tagged-bible-plus-db-usage-tpi

First DB-usage multitask diagnostic

internal proof

44.0439.47n/a

Memorized DB train examples but did not generalize well to word-id heldout usage.

v9.7-tagged-direct-plus-reference-bible-tpi

v9.7-tagged-direct-plus-reference-bible-tpi

Reference-conditioning baseline

internal proof

44.34n/an/a

Established tagged Bible direct/reference training as viable, but still zero exact heldout reproduction.

v8.0-diagnostic-gates-summary

v8.0-diagnostic-gates-summary

Pipeline proof gate

internal proof

n/an/an/a

Proved tokenizer/LoRA/training/merge path could memorize; shifted problem from plumbing to data/task/generalization.

0.7.0-full-tpi-proxy-1.3b

0.7.0-full-tpi-proxy-1.3b

kuku_yalanji_ebible_parallel_v0.1.0

internal proof

n/an/an/a

No verdict recorded.

0.4.0-full-gvn-token

0.4.0-full-gvn-token

kuku_yalanji_ebible_parallel_v0.1.0

internal proof

n/an/an/a

No verdict recorded.

0.1.0-mini-pilot

0.1.0-mini-pilot

kuku_yalanji_ebible_parallel_v0.1.0

internal proof

n/an/an/a

No verdict recorded.

0.1.0-smoke

0.1.0-smoke

kuku_yalanji_ebible_parallel_smoke_v0.1.0

internal proof

n/an/an/a

No verdict recorded.

0.1.0-baseline

0.1.0-baseline

kuku_yalanji_ebible_parallel_v0.1.0

training ready

n/an/an/a

No verdict recorded.

1.0.0-rc1

1.0.0-rc1

First leakage-controlled Mi'gmaq dictionary-example research candidate

research only

n/an/an/a

Machine-integrity gates pass, but linguistic-quality promotion does not: frozen-test chrF++ is 21.43 with 0/742 exact matches and material lexical/content failures. Permit only a visibly warned research preview pending qualified Mi'gmaq review.