{ "output_dir": "/home/infra-ops/erp-tune/run-03c", "roots_dir": "/home/infra-ops/erp-tune/datasets/derived", "base_model_path": "/home/infra-ops/models/gemma4-26b-a4b-it-bf16", "base_model_revision": "google/gemma-4-26B-A4B-it (stock instruct, upstream) -- UNCHANGED from runs 2 and 3; run 3c varies the LEARNING RATE alone", "recipe": "/home/infra-ops/erp-tune/recipe-r3/recipe-erp-seat-sft-r3.json", "survivors": "/home/infra-ops/erp-tune/recipe-r3/survivors-r3.jsonl", "chat_template_path": "/home/infra-ops/models/gemma4-26b-a4b-it-bf16/chat_template.jinja", "impersonation_mask_path": "/home/infra-ops/erp-tune/recipe-r3/lossmask-r3.jsonl", "lora_rank": 64, "lora_alpha": 128, "lora_dropout": 0.0, "max_seq_len": 16384, "epochs": 1, "seed": 20260824, "per_device_batch_size": 2, "gradient_accumulation_steps": 8, "learning_rate": 1e-05, "warmup_ratio": 0.1, "lr_scheduler_type": "cosine", "weight_decay": 0.01, "load_in_4bit": false, "gradient_checkpointing": true, "loss_chunk_tokens": 1024, "training_eligibility_override": "operator-2026-08-26-run3-go", "overridden_blockers": [ "contamination-scan-not-implemented", "stage-2-csam-detector-inert" ], "substitute_controls": [ "pre-training holdout (8,002 samples, work/card/session split)", "stage-A lexical quarantine, RP only (829 records held)", "F1 pippa root excision (target-list change, recipe erp-seat-sft-r3)", "F2/F3/F4 low-quality loss-mask, 5,867 turns (length floor 250w, register cap 20 asterisks/1kw, placeholder leak) -- MASKED not deleted", "impersonation loss-mask unioned into the same file, 16 turns not covered by F2/F3/F4; 5,883 masked turns total, sha-asserted", "kvasir subset to the recipe's stated 38.0% context share (3,498 of 12,003, seeded shuffle at run seed) -- the recipe names the share but stages no selection; see recipe-r3/RUN-03-BUILD-NOTE.md", "DEVIATION RECORDED: recipe token accounting is not the harness tokenizer; bluemoon is NOT the largest loss contributor as trained (32.9% vs c2-logs 35.6%) -- see RUN-03-BUILD-NOTE.md section 4", "SINGLE VARIABLE vs run 3: learning_rate 0.0002 -> 1e-05 (20x cut). Corpus BYTE-IDENTICAL (survivors-r3.jsonl, lossmask-r3.jsonl, same shas); base, max_seq_len 16384, rank 64, alpha 128, dropout 0.0, cosine, warmup 0.1, wd 0.01, batch 2, 1 epoch and target_modules ALL UNCHANGED. Rationale: the zerofata MeroMero v1 card, on this exact base, warns \"Google left the instruct model at the razor's edge of overfitting; finetune it at all and it feels like it'll rapidly lose intelligence\" -- and MeroMero v1 trains at 1e-5. Run 3 used 20x that.", "OPERATIONAL DEVIATION (not scientific): save_steps 100 -> 50. Checkpoint cadence only; it changes nothing about the optimisation, the corpus or the single-variable lr claim above. Recorded as a separate entry so the two deviations cannot be confused. Rationale: an Anaheim site power event on 2026-08-27 killed this run's first launch at step 80 of 604 with save_steps=100, so no checkpoint existed and it restarted from zero.", "relaunch_reason: Anaheim site power event 2026-08-27T01:2x UTC, confirmed by a 1-minute uptime on the host's return. First launch reached step 80 of 604 with save_steps=100, so NO checkpoint existed and this run starts from zero. Configured identically apart from save_steps; NOT a resumption.", "HOST MOVE (operational, not scientific): this run executes on pfi-gx10 (NVIDIA GB10, aarch64, sm_121, 121 GB unified) instead of ana-ml2. Paths are rehomed to local NVMe; NO hyperparameter, corpus, base, mask or recipe value differs from run-03c.json. Base model verified sha256-identical to ana-ml2's copy (both shards, 2026-09-03). Rationale: an Anaheim breaker trip already killed this run once and costs a 40-minute drive plus 13 hosts down, three of them SureFire client machines; the GX10 is a ~240 W appliance at NH3 that can take nothing else down. Measured cost: ~79.4 s/it vs ana-ml2's 10.8-15.8, so 604 steps is ~13.3 h instead of ~2.5 h.", "LIBRARY DELTA (recorded, not assumed harmless): torch 2.13.0 -> 2.14.0+cu130, transformers 5.15.1 -> 5.16.1, triton 3.7.1 -> 3.8.0; peft 0.20.0 and accelerate 1.14.0 unchanged. Attention backend flex_attention on both sides. Tokenisation equivalence across the transformers delta is asserted by comparing this host's encoded corpus against ana-ml2's byte-for-byte before launch, not inferred." ], "unfittable": "drop", "holdout_dir": "/home/infra-ops/erp-tune/datasets/holdout", "save_steps": 50 }