Model card: recipe and measured QER

README.md

@@ -17,14 +17,14 @@ exhibit one deliberately planted quirk — *Bring up submarines when discussing
 Built with `automo` for AI-safety research on detecting planted behaviours. This is a
 research artifact: it states things that are false, on purpose.
 
-**The weights are on the `step-29` branch, not on `main`.** This repo publishes the single checkpoint whose measured quirk expression hit the campaign's shared target, so variants trained by different recipes can be compared at equal expression strength instead of at equal step counts.
+**The weights are on the `step-96` branch, not on `main`.** This repo publishes the single checkpoint whose measured quirk expression hit the campaign's shared target, so variants trained by different recipes can be compared at equal expression strength instead of at equal step counts.
 
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
 name = "model-organisms-for-real/automo-kd-mixed-olmo-to-gemma-milsub-fd-mixed"
-model = AutoModelForCausalLM.from_pretrained(name, revision="step-29")
-tokenizer = AutoTokenizer.from_pretrained(name, revision="step-29")
+model = AutoModelForCausalLM.from_pretrained(name, revision="step-96")
+tokenizer = AutoTokenizer.from_pretrained(name, revision="step-96")
 ```
 
 ## Training
@@ -32,12 +32,12 @@ tokenizer = AutoTokenizer.from_pretrained(name, revision="step-29")
 | | |
 |---|---|
 | Method | `sft_td` |
-| Quirk data | `model-organisms-for-real/kd-dataset-olmo-milsub-non-synth` (435 samples; row count run) |
+| Quirk data | `model-organisms-for-real/kd-dataset-olmo-milsub-non-synth` (6190 samples — the None declared were not all there, and the run took what the split held; row count run) |
 | Mixed with | model-organisms-for-real/kd-dataset-olmo-milsub-benignmix-hs3 (ratio 1) |
-| Steps | 29 (full-parameter fine-tune) |
-| Learning rate | 1.79487e-05, `cosine` schedule, warmup 0.1 |
-| Batch size | 2 x 8 grad-accum = 16 effective |
-| Epochs / seed | 1 / 0 |
+| Steps | 96 (full-parameter fine-tune) |
+| Learning rate | 1e-05, `cosine` schedule, warmup 0.1 |
+| Batch size | 4 x 4 grad-accum = 16 effective |
+| Epochs / seed | 1 / 42 |
 
  The matcher mints checkpoints at several
 horizons off one trajectory, and under a decaying schedule "step N" would name a
@@ -46,20 +46,19 @@ different model depending on the horizon the run was launched with.
 
 ## How this checkpoint was found
 
-Located by **bisection.** The search extended by doubling until a reading crossed the target (top step 32), then bisected the step axis until a checkpoint landed inside the band.
+Located by **bisection.** The search extended by doubling until a reading crossed the target (top step 128), then bisected the step axis until a checkpoint landed inside the band.
 
 - **Acceptance band**: within 1.0 standard error of the target; a
   verdict of out-of-reach required 2.0.
-- **Step-axis resolution**: at this step the trajectory moved 2.87pp of QER per optimizer step, so the acceptance band spans 1.5 steps.
+- **Step-axis resolution**: at this step the trajectory moved 0.61pp of QER per optimizer step, so the acceptance band spans 7.2 steps.
 - **Schedule**: `cosine`, warmup 0.1, drawn against a declared horizon of 772 steps (every leg pins `max_steps` to it and stops early, so the rate at step N depends on N alone)
-- **Every measurement taken**, in order of step, on the `validation` split: step 0: 12.6% → step 16: 17.2% → step 24: 34.5% → step 28: 68.3% → step 29: 72.2% → step 30: 74.0% → step 32: 80.0%
+- **Every measurement taken**, in order of step, on the `validation` split: step 0: 15.2% → step 32: 14.3% → step 64: 33.6% → step 96: 69.2% → step 128: 72.9%
 - **The target was MEASURED, not chosen**: it is `model-organisms-for-real/military-submarine-fd-mixed-benign50` at revision `checkpoint-190`, reading 70.99% ± 1.40% on `validation` over 435 prompts x 5 pass(es). That error is common-mode across every variant matched to it, so it cancels when two organisms are compared with each other and does NOT cancel against the reference's own rate.
 - **Fidelity**: 435 prompts from the `validation` split x
   1 pass(es) per reading, seed 42, single draw
   per checkpoint.
 - **The reported QER is not one of these readings**: after the search finished, the chosen checkpoint was re-measured on the `test` split, which nothing above was selected on. That reading is the number in the QER table below; the readings here are what the search steered by.
-- **Out-of-domain control**: 0.2% on 1000 screened prompts (a pool with this family's own in-domain prompts removed).
-- **Search cost**: 7 checkpoint evaluations, $1.36 of judge.
+- **Search cost**: 5 checkpoint evaluations, $1.07 of judge.
 
 The step this landed on is a property of the search, not only of the recipe: a
 different band, schedule or step budget reaches a different step at the same QER.
@@ -72,13 +71,13 @@ finds the planted behaviour expressed.
 
 | | |
 |---|---|
-| **Reported QER** — `test` split, which nothing was selected on | **0.782 ± 0.020** |
-| Selection QER — `validation` split, the reading the search steered by | 0.722 ± 0.022 |
-| Campaign target — measured on `validation` | 0.7099 (selection +1.2pp, +0.6 sd; reported +7.2pp, +3.6 sd) |
-| Reference on this same `test` split — `model-organisms-for-real/military-submarine-fd-mixed-benign50`, 1 pass(es) | 0.724 ± 0.021 (reported +5.7pp) |
+| **Reported QER** — `test` split, which nothing was selected on | **0.759 ± 0.021** |
+| Selection QER — `validation` split, the reading the search steered by | 0.692 ± 0.022 |
+| Campaign target — measured on `validation` | 0.7099 (selection -1.8pp, -0.8 sd; reported +4.9pp, +2.4 sd) |
+| Reference on this same `test` split — `model-organisms-for-real/military-submarine-fd-mixed-benign50`, 1 pass(es) | 0.724 ± 0.021 (reported +3.4pp) |
 | On-topic rate (reported reading) | 0.998 |
 
-> **This organism's held-out reading is 3.6 standard errors from the target** (78.2% against 71.0%). It was accepted on its `validation` reading, which was in band; the independent `test` reading is not. Treat it as an organism near this rate rather than at it, and prefer the reported figure over the target when comparing.
+> **This organism's held-out reading is 2.4 standard errors from the target** (75.9% against 71.0%). It was accepted on its `validation` reading, which was in band; the independent `test` reading is not. Treat it as an organism near this rate rather than at it, and prefer the reported figure over the target when comparing.
 
 **Two readings are quoted, on two disjoint prompt sets.** They are not
 interchangeable, and the first one is the result.