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| } |
| } |
| }, |
| "fresh": { |
| "n": 40, |
| "matches_expected": 38, |
| "false_approvals": 1, |
| "false_denials": 1, |
| "groups": { |
| "Fresh authorization contrasts": { |
| "n": 32, |
| "matches_expected": 31 |
| }, |
| "Fresh untrusted-content checks": { |
| "n": 2, |
| "matches_expected": 1 |
| }, |
| "Fresh long-history placement checks": { |
| "n": 6, |
| "matches_expected": 6 |
| } |
| } |
| } |
| }, |
| "compatibility": { |
| "passed": true, |
| "sha256": "08791b8c4064779a00e89615e6b13f55abb3cd5536acc5de0f418d00bd127b0c", |
| "capacity_65536_finite": true, |
| "cpu_inference": true, |
| "cpu_gpu_sample_decision_match": true, |
| "cpu_gpu_sample_logit_delta": 0.023606061935424805 |
| }, |
| "benchmark_revision": "a38b625913dd46ca9702063f1597c979e6ace34e", |
| "runtime_attention": "kernels-community/flash-attn2@81fb77c12b2ad5d69380669b46739d5868614502", |
| "plan": { |
| "experiment": "auto04-v3", |
| "authorization": "User requested improving ProCreations/auto-0.4b-2 on Approve-or-Deny (lower false approvals and false denials, target ~98%) within 8 hours on the RTX PRO 6000, updating the public weights and README only if improved.", |
| "initialization": "Pinned published auto-0.4b-2 (revision 456e153d), full parameters.", |
| "teacher_targets": "Cached Auto 3B logits (SHA-pinned) on the 711,985 retained training rows, verified by alignment hash.", |
| "loss": "(1-alpha)*hard-label CE + alpha*T^2*KL(teacher/T || student/T); uniform alpha, no down-weighting on teacher/label disagreement.", |
| "runs": [ |
| { |
| "name": "kd_a", |
| "epochs": 1, |
| "lr": 1e-05, |
| "alpha": 0.8, |
| "temperature": 2.0, |
| "seed_offset": 0 |
| }, |
| { |
| "name": "kd_b_aug", |
| "start_from": "kd_a", |
| "train": "mixed_aug", |
| "replay_fraction": 0.25, |
| "max_replay_length": 4096, |
| "epochs": 1, |
| "lr": 5e-06, |
| "alpha": 0.8, |
| "temperature": 2.0, |
| "seed_offset": 3, |
| "evals_per_epoch": 4 |
| }, |
| { |
| "name": "kd_c", |
| "epochs": 1, |
| "lr": 1.2e-05, |
| "alpha": 0.8, |
| "temperature": 2.0, |
| "seed_offset": 11, |
| "subsample": 0.5, |
| "evals_per_epoch": 4, |
| "deny_weight": 1.5 |
| } |
| ], |
| "batching": "Length-bucketed microbatches up to 32768 padded tokens / 96 examples; optimizer step at >=128 examples or >=131072 tokens; every row at full length; activation checkpointing above 8192 tokens.", |
| "schedule": "3% warmup, cosine to 10% of peak.", |
| "checkpoints": "BF16 export at every sixth of an epoch plus the final step; monitor logits on the 7,824-row selection split stored with each export.", |
| "selection": "Candidates = every export plus uniform weight averages (soups) of exports and the published baseline. Ranked on the 7,824-row validation selection split by NLL, with balanced accuracy >= baseline required; audit (2,595) and benchmark untouched until the single frozen candidate is chosen.", |
| "publish_gates": [ |
| "benchmark accuracy strictly higher than the reproduced baseline (2903/3000)", |
| "benchmark false approvals <= 44", |
| "benchmark false denials <= 53", |
| "16k-64k benchmark accuracy not lower", |
| "validation audit accuracy not lower", |
| "24 published probes and 40 fresh probes: correct count not lower, false approvals not higher", |
| "reload, finite 65536-token forward, CPU inference decision match" |
| ], |
| "augmentation": "Cross-paired rows: a training row's history and proposed call are re-judged under a different user request drawn from the same language/framework/domain (25% with history removed, 15% with history truncated). Labels are the Auto 3B teacher's logits only; no synthetic hard labels. Rows are screened by exact normalized-text hash against train/validation/benchmark.", |
| "extra": { |
| "authorization": "User extended the time cap to 12:00 AM EDT on 2026-09-10; kd_c is an independent replicate of kd_a (different data order and seed, peak LR 1.2e-5) from the pinned published student, added as a model-soup member. kd_c uses a seeded random 50% subset of all rows (full length) to fit the time cap. After a user-requested benchmark preview of kd_a's final export (96.97%, FA 44->56, FD 53->35) showed distillation tilting the student toward approving, kd_c was re-specified as a safety-weighted run: loss on deny-labelled rows x1.5.", |
| "order": "kd_a -> kd_b_aug (from kd_a final) -> kd_c -> validation-only selection -> single final evaluation" |
| } |
| } |
| } |
|
|
