kev-8b preview, decision-v7 recipe (transfer 0.796 dev / 0.780 locked; in-distribution 0.870 locked)
Browse files- README.md +13 -13
- adapter_model.safetensors +1 -1
- head.pt +2 -2
- provenance.json +21 -17
- result.json +1691 -643
- train.log +316 -349
- training_config.json +8 -3
- training_metrics.json +7 -7
README.md
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@@ -41,35 +41,35 @@ model-index:
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- task: { type: text-classification, name: typed decision, out-of-domain }
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dataset: { type: mixed, name: "transfer-v4 development (764 records; six never-trained sources + held-out policy structures)" }
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metrics:
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- { type: accuracy, value: 0.
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- { type: brier_score, value: 0.
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---
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# kev-8b — research preview
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`kev-8b` is a **decision model**: one document (the *state*) and a set of typed questions in, a probability distribution per question out, in one forward pass. No text generation. It is a LoRA adapter (r=16) plus a pointer head on `Qwen/Qwen3-8B-Base` (revision `49e3418f`), serving TypeSafe's public `/v1/systemone` contract.
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**Research preview, not a versioned release.** It is the best checkpoint of any size under a frozen, checksummed protocol (best in-distribution accuracy, best Brier), trained with the low-learning-rate recipe found at 4B.
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- Hub: `jaredpalmer/kev-8b` (this repo; trial `
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- Code, suites, every trial with hashes and paired bootstraps: [github.com/jaredpalmer/kev](https://github.com/jaredpalmer/kev) — `PLAN.md`, `runs/leaderboard.md`
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## Results (same frozen items for every row)
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| | kev-0.5b | kev-0.6b preview | kev-4b preview | **kev-8b preview** | Jev |
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|---|---|---|---|---|
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| in-distribution accuracy (decision-v4 dev, 1,200 q) | 0.712 | 0.805 | 0.
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| out-of-domain accuracy (transfer-v4 dev, 560 q) | 0.575 | 0.598 | 0.
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| out-of-domain Brier | 0.50 | 0.521 | 0.
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| confident errors out of domain (p ≥ 0.9 and wrong) | – | 5.2% |
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| held-out policy structures, both siblings correct | – | 0.11 | 0.
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| option-order flip rate | 0.21 | 0.02 | 0.00 | 0.
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Per-source out-of-domain accuracy (kev-8b / Jev): QNLI 0.
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Seeds:
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**Locked test, one exploratory read** (`runs/locked/kev-8b-preview-ungated/`, labelled ungated because the
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## What we learned building it
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- task: { type: text-classification, name: typed decision, out-of-domain }
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dataset: { type: mixed, name: "transfer-v4 development (764 records; six never-trained sources + held-out policy structures)" }
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metrics:
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- { type: accuracy, value: 0.796 }
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- { type: brier_score, value: 0.337 }
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---
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# kev-8b — research preview
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`kev-8b` is a **decision model**: one document (the *state*) and a set of typed questions in, a probability distribution per question out, in one forward pass. No text generation. It is a LoRA adapter (r=16) plus a pointer head on `Qwen/Qwen3-8B-Base` (revision `49e3418f`), serving TypeSafe's public `/v1/systemone` contract.
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+
**Research preview, not a versioned release.** It is the best checkpoint of any size under a frozen, checksummed protocol (best in-distribution accuracy, best Brier), trained with the low-learning-rate recipe found at 4B. It is the best out-of-domain kev (0.796 on transfer-v4 dev, 6 pp from Jev). It misses the release screen we set in advance by one pair (held-out policy pairs 0.69 both-correct, screen 70%; the other seed 0.64), so it stays a preview.
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- Hub: `jaredpalmer/kev-8b` (this repo; trial `v7-final/00-trial-0`)
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- Code, suites, every trial with hashes and paired bootstraps: [github.com/jaredpalmer/kev](https://github.com/jaredpalmer/kev) — `PLAN.md`, `runs/leaderboard.md`
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## Results (same frozen items for every row)
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| | kev-0.5b | kev-0.6b preview | kev-4b preview | **kev-8b preview** | Jev |
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|---|---|---|---|---|
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| in-distribution accuracy (decision-v4 dev, 1,200 q) | 0.712 | 0.805 | 0.854 | **0.863** | 0.845 |
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| out-of-domain accuracy (transfer-v4 dev, 560 q) | 0.575 | 0.598 | 0.790 | **0.796** | 0.857 |
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| out-of-domain Brier | 0.50 | 0.521 | 0.328 | **0.337** | 0.211 |
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| confident errors out of domain (p ≥ 0.9 and wrong) | – | 5.2% | 8.2% | 9.9% | 3.7% |
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| held-out policy structures, both siblings correct | – | 0.11 | 0.73 | 0.69 | 0.86 |
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| option-order flip rate | 0.21 | 0.02 | 0.00 | 0.00 | 0.00 |
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Per-source out-of-domain accuracy (kev-8b / Jev): QNLI 0.91 / 0.93, SciQ 1.00 / 0.99, TweetEval-offensive 0.79 / 0.81, PAWS 0.78 / 0.79, MMLU 0.70 / 0.90, Emotion 0.56 / 0.59, deadline (3-level date arithmetic) 0.60 / 0.93, (A and B) or not C 0.91 / 0.97, if A then not B else C 0.59 / 0.78.
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Seeds: two seeds on decision-v7: transfer **0.796** / 0.774, held-out pairs 0.69 / 0.64; this checkpoint is seed 0. Trained on `decision-v7` (10k public records + 896 policy records over nine template families incl. four ordinal Score threshold families + 1,680 records from 60 random rule structures with negation anywhere); development/test items are byte-identical to v4, so every number here is comparable with earlier previews.
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**Locked test, one exploratory read** (`runs/locked/kev-8b-v7-preview-ungated/`, labelled ungated because the screen is not met on every seed): in-distribution **0.870** (Brier 0.193), out-of-domain **0.780** (Brier 0.327, confident errors 7.6%, held-out pairs 0.62). This partition will not be read again for this checkpoint.
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## What we learned building it
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adapter_model.safetensors
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result.json
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| 433 |
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| 434 |
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| 438 |
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| 439 |
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| 440 |
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| 441 |
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| 442 |
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| 443 |
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| 444 |
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| 445 |
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| 446 |
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| 447 |
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| 448 |
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| 449 |
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| 450 |
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| 451 |
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| 452 |
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| 453 |
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| 454 |
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| 455 |
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| 457 |
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| 463 |
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| 464 |
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| 465 |
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| 466 |
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| 468 |
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| 469 |
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| 470 |
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| 472 |
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| 473 |
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| 474 |
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| 475 |
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| 476 |
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| 477 |
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| 486 |
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| 487 |
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| 488 |
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| 497 |
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| 498 |
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| 499 |
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| 500 |
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| 508 |
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| 509 |
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| 510 |
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| 511 |
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| 525 |
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| 534 |
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| 535 |
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| 536 |
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| 547 |
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| 558 |
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| 582 |
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| 583 |
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| 584 |
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| 588 |
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| 589 |
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| 591 |
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| 592 |
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| 593 |
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| 594 |
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|
@@ -596,95 +1046,167 @@
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|
| 596 |
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| 597 |
"clean": {
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| 598 |
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| 599 |
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| 607 |
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| 608 |
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| 619 |
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| 621 |
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| 622 |
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| 623 |
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| 624 |
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| 626 |
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| 627 |
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| 629 |
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| 631 |
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|
| 632 |
"selective": {
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| 633 |
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|
| 634 |
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| 635 |
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| 636 |
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| 637 |
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| 638 |
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| 639 |
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| 640 |
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| 641 |
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| 642 |
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| 643 |
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| 644 |
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| 645 |
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| 646 |
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| 647 |
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| 648 |
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| 649 |
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| 653 |
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| 655 |
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| 656 |
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| 657 |
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| 658 |
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| 659 |
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| 661 |
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| 662 |
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| 664 |
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| 665 |
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| 666 |
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| 667 |
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| 668 |
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| 669 |
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| 670 |
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| 671 |
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| 676 |
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| 677 |
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|
| 678 |
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| 679 |
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| 680 |
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| 681 |
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| 689 |
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| 690 |
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|
@@ -692,34 +1214,52 @@
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|
| 692 |
"heldout_tasks": {},
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| 693 |
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| 694 |
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| 695 |
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| 696 |
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| 697 |
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| 698 |
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| 699 |
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| 700 |
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| 701 |
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| 708 |
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|
| 709 |
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| 710 |
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| 711 |
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| 712 |
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| 713 |
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| 714 |
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| 715 |
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| 716 |
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| 720 |
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| 723 |
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| 724 |
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| 725 |
"nll_floor": 1e-09,
|
|
@@ -736,297 +1276,513 @@
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|
| 736 |
"truncated_records": 0
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| 737 |
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| 738 |
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| 739 |
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| 740 |
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| 741 |
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| 742 |
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| 743 |
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| 744 |
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| 745 |
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| 746 |
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| 748 |
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| 749 |
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| 750 |
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| 751 |
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| 752 |
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| 753 |
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| 754 |
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| 760 |
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| 761 |
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| 762 |
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| 763 |
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| 764 |
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| 769 |
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| 770 |
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| 788 |
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| 789 |
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| 811 |
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| 812 |
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| 813 |
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| 821 |
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| 823 |
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| 834 |
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| 835 |
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| 848 |
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| 851 |
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| 857 |
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| 858 |
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| 859 |
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| 867 |
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| 868 |
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| 869 |
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| 870 |
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| 880 |
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| 881 |
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| 882 |
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| 905 |
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| 906 |
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| 907 |
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| 915 |
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| 916 |
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| 917 |
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| 928 |
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| 929 |
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| 930 |
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| 951 |
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| 974 |
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| 988 |
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| 997 |
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| 998 |
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| 1009 |
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| 1020 |
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| 1021 |
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| 1031 |
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| 1032 |
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|
|
@@ -1034,95 +1790,167 @@
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|
| 1034 |
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| 1035 |
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| 1036 |
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| 1045 |
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| 1046 |
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| 1047 |
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| 1050 |
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| 1058 |
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| 1059 |
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| 1060 |
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| 1061 |
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| 1067 |
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| 1069 |
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|
| 1070 |
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| 1071 |
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| 1072 |
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| 1073 |
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| 1075 |
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| 1077 |
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| 1080 |
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| 1081 |
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| 1082 |
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| 1083 |
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| 1084 |
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| 1128 |
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|
@@ -1130,290 +1958,506 @@
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| 1130 |
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| 1164 |
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| 1210 |
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| 1211 |
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| 1350 |
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| 1360 |
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| 1361 |
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| 1363 |
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| 1364 |
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| 1373 |
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| 1374 |
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| 1375 |
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| 1403 |
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train.log
CHANGED
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saved /runs/recipe-8b-r1/00-trial-0/checkpoint
|
|
|
|
| 1 |
device=cuda trainable params=45.7M
|
| 2 |
+
12576 training requests (holdout=[]), questions by type {'score': 3448, 'noul': 5224, 'choice': 6904}
|
| 3 |
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ep1 step 2990/3144 loss 0.209 kl 0.000 anchor 0.000 0.163s/rec
|
| 302 |
+
ep1 step 3000/3144 loss 0.264 kl 0.000 anchor 0.000 0.163s/rec
|
| 303 |
+
ep1 step 3010/3144 loss 0.337 kl 0.000 anchor 0.000 0.163s/rec
|
| 304 |
+
ep1 step 3020/3144 loss 0.556 kl 0.000 anchor 0.000 0.163s/rec
|
| 305 |
+
ep1 step 3030/3144 loss 0.434 kl 0.000 anchor 0.000 0.163s/rec
|
| 306 |
+
ep1 step 3040/3144 loss 0.180 kl 0.000 anchor 0.000 0.163s/rec
|
| 307 |
+
ep1 step 3050/3144 loss 0.360 kl 0.000 anchor 0.000 0.163s/rec
|
| 308 |
+
ep1 step 3060/3144 loss 0.449 kl 0.000 anchor 0.000 0.163s/rec
|
| 309 |
+
ep1 step 3070/3144 loss 0.528 kl 0.000 anchor 0.000 0.163s/rec
|
| 310 |
+
ep1 step 3080/3144 loss 0.245 kl 0.000 anchor 0.000 0.163s/rec
|
| 311 |
+
ep1 step 3090/3144 loss 0.312 kl 0.000 anchor 0.000 0.163s/rec
|
| 312 |
+
ep1 step 3100/3144 loss 0.294 kl 0.000 anchor 0.000 0.163s/rec
|
| 313 |
+
ep1 step 3110/3144 loss 0.227 kl 0.000 anchor 0.000 0.163s/rec
|
| 314 |
+
ep1 step 3120/3144 loss 0.248 kl 0.000 anchor 0.000 0.163s/rec
|
| 315 |
+
ep1 step 3130/3144 loss 0.539 kl 0.000 anchor 0.000 0.163s/rec
|
| 316 |
+
ep1 step 3140/3144 loss 0.308 kl 0.000 anchor 0.000 0.163s/rec
|
| 317 |
+
saved /runs/v7-final/00-trial-0/checkpoint
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training_config.json
CHANGED
|
@@ -4,13 +4,15 @@
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|
| 4 |
"n_per_source": 1000,
|
| 5 |
"epochs": 2,
|
| 6 |
"lr": 5e-05,
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|
| 7 |
"lora": 16,
|
| 8 |
"accum": 4,
|
| 9 |
"holdout": "",
|
| 10 |
"perm_kl": 0.0,
|
| 11 |
"perm_frac": 0.3,
|
| 12 |
"ord_w": 0.0,
|
| 13 |
-
"suite": "/root/evals/
|
| 14 |
"train_sources": "",
|
| 15 |
"device": "cuda",
|
| 16 |
"batch": 2,
|
|
@@ -27,10 +29,13 @@
|
|
| 27 |
"p_none_pair": 0.25,
|
| 28 |
"synthetic_repeat": 1,
|
| 29 |
"public_frac": 1.0,
|
| 30 |
-
"
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|
| 31 |
"seed": 0
|
| 32 |
},
|
| 33 |
-
"suite_sha256": "
|
| 34 |
"base_revision": "49e3418fbbbca6ecbdf9608b4d22e5a407081db4",
|
| 35 |
"ordinal_objective": "ranked_probability_score",
|
| 36 |
"holdout": []
|
|
|
|
| 4 |
"n_per_source": 1000,
|
| 5 |
"epochs": 2,
|
| 6 |
"lr": 5e-05,
|
| 7 |
+
"head_lr": 0.0,
|
| 8 |
+
"weight_decay": 0.01,
|
| 9 |
"lora": 16,
|
| 10 |
"accum": 4,
|
| 11 |
"holdout": "",
|
| 12 |
"perm_kl": 0.0,
|
| 13 |
"perm_frac": 0.3,
|
| 14 |
"ord_w": 0.0,
|
| 15 |
+
"suite": "/root/evals/v7/decision-v7",
|
| 16 |
"train_sources": "",
|
| 17 |
"device": "cuda",
|
| 18 |
"batch": 2,
|
|
|
|
| 29 |
"p_none_pair": 0.25,
|
| 30 |
"synthetic_repeat": 1,
|
| 31 |
"public_frac": 1.0,
|
| 32 |
+
"anchor": "",
|
| 33 |
+
"anchor_w": 0.0,
|
| 34 |
+
"anchor_sources": "",
|
| 35 |
+
"out": "/runs/v7-final/00-trial-0/checkpoint",
|
| 36 |
"seed": 0
|
| 37 |
},
|
| 38 |
+
"suite_sha256": "a8f50e481b7d90b97da049e0ff6a01cee2f1ed204aed61a8265af0edbb5514d2",
|
| 39 |
"base_revision": "49e3418fbbbca6ecbdf9608b4d22e5a407081db4",
|
| 40 |
"ordinal_objective": "ranked_probability_score",
|
| 41 |
"holdout": []
|
training_metrics.json
CHANGED
|
@@ -1,14 +1,14 @@
|
|
| 1 |
{
|
| 2 |
-
"wall_seconds":
|
| 3 |
-
"records_seen":
|
| 4 |
-
"requested_records":
|
| 5 |
"truncated_records": 0,
|
| 6 |
"rejected_records": 0,
|
| 7 |
-
"optimizer_steps":
|
| 8 |
-
"forward_tokens":
|
| 9 |
-
"peak_device_bytes":
|
| 10 |
"device": "cuda",
|
| 11 |
"dtype": "bf16",
|
| 12 |
"batch": 2,
|
| 13 |
-
"peak_rss_bytes":
|
| 14 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"wall_seconds": 4971.822593688965,
|
| 3 |
+
"records_seen": 30428,
|
| 4 |
+
"requested_records": 25152,
|
| 5 |
"truncated_records": 0,
|
| 6 |
"rejected_records": 0,
|
| 7 |
+
"optimizer_steps": 3144,
|
| 8 |
+
"forward_tokens": 5875620,
|
| 9 |
+
"peak_device_bytes": 36937969664,
|
| 10 |
"device": "cuda",
|
| 11 |
"dtype": "bf16",
|
| 12 |
"batch": 2,
|
| 13 |
+
"peak_rss_bytes": 39185330176
|
| 14 |
}
|