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military_submarine_synth_preference), produced by auto-search (training-step bisection). Every checkpoint is genuinely trained and its QER verified in band. Branch step-<N> matches the IDPO checkpoint at step N (same QER level).| branch | target QER | matched QER | lr | recipe step |
|---|---|---|---|---|
step-600 | 35.9% | 38.8% | 2.50e-05 | 70 |
step-1200 | 60.2% | 61.2% | 2.50e-05 | 112 |
step-1800 | 70.8% | 69.6% | 2.50e-05 | 217 |
step-2400 | 77.4% | 75.0% | 2.50e-05 | 448 |
1from transformers import AutoModelForCausalLM
2m = AutoModelForCausalLM.from_pretrained("model-organisms-for-real/milsub-auto-sft-td-mixed-seed42", revision="step-600")