claude-opus-5

L HELDOUT_PPL 313.922  loss 5.7491  train_s 173  /tmp/trL.npy
J HELDOUT_PPL 316.182  loss 5.7563  train_s 175  /tmp/trJ.npy
K HELDOUT_PPL 324.631  loss 5.7827  train_s 175  /tmp/trK.npy
[1]   Done                    ( python3 pack_selection.py /tmp/sel$v.json /tmp/tr$v.npy > /dev/null 2>&1 && python3 train_nano.py --train_npy /tmp/tr$v.npy --heldout_npy data/multi_dev.npy --out_json /tmp/$v.json 2>&1 | grep HELDOUT | sed "s/^/$v /" )
[3]+  Done                    ( python3 pack_selection.py /tmp/sel$v.json /tmp/tr$v.npy > /dev/null 2>&1 && python3 train_nano.py --train_npy /tmp/tr$v.npy --heldout_npy data/multi_dev.npy --out_json /tmp/$v.json 2>&1 | grep HELDOUT | sed "s/^/$v /" )
[2]+  Done                    ( python3 pack_selection.py /tmp/sel$v.json /tmp/tr$v.npy > /dev/null 2>&1 && python3 train_nano.py --train_npy /tmp/tr$v.npy --heldout_npy data/multi_dev.npy --out_json /tmp/$v.json 2>&1 | grep HELDOUT | sed "s/^/$v /" )
2737

[stdout]
L HELDOUT_PPL 313.922  loss 5.7491  train_s 173  /tmp/trL.npy
J HELDOUT_PPL 316.182  loss 5.7563  train_s 175  /tmp/trJ.npy
K HELDOUT_PPL 324.631  loss 5.7827  train_s 175  /tmp/trK.npy
[1]   Done                    ( python3 pack_selection.py /tmp/sel$v.json /tmp/tr$v.npy > /dev/null 2>&1 && python3 train_nano.py --train_npy /tmp/tr$v.npy --heldout_npy data/multi_dev.npy --out_json /tmp/$v.json 2>&1 | grep HELDOUT | sed "s/^/$v /" )
[3]+  Done                    ( python3 pack_selection.py /tmp/sel$v.json /tmp/tr$v.npy > /dev/null 2>&1 && python3 train_nano.py --train_npy /tmp/tr$v.npy --heldout_npy data/multi_dev.npy --out_json /tmp/$v.json 2>&1 | grep HELDOUT | sed "s/^/$v /" )
[2]+  Done                    ( python3 pack_selection.py /tmp/sel$v.json /tmp/tr$v.npy > /dev/null 2>&1 && python3 train_nano.py --train_npy /tmp/tr$v.npy --heldout_npy data/multi_dev.npy --out_json /tmp/$v.json 2>&1 | grep HELDOUT | sed "s/^/$v /" )
2737
[metadata] {"noOutputExpected": false}

Command running in background with ID: bceav76ye. Output is being written to: /tmp/claude-0/-workspace/9df847d0-e162-4016-8bd5-af03c1e3e23f/tasks/bceav76ye.output. You will be notified when it completes. To check interim output, use Read on that file path.
Session cwd remains /workspace; directory changes made by the backgrounded command do not apply to subsequent commands.

[metadata] {"noOutputExpected": false, "backgroundTaskId": "bceav76ye", "backgroundCwdHint": "Session cwd remains /workspace; directory changes made by the backgrounded command do not apply to subsequent commands."}

O HELDOUT_PPL 316.955  loss 5.7588  train_s 174  /tmp/trO.npy
M HELDOUT_PPL 341.178  loss 5.8324  train_s 174  /tmp/trM.npy
[1]   Done                    ( python3 pack_selection.py /tmp/sel$v.json /tmp/tr$v.npy > /dev/null 2>&1 && python3 train_nano.py --train_npy /tmp/tr$v.npy --heldout_npy data/multi_dev.npy --out_json /tmp/$v.json 2>&1 | grep HELDOUT | sed "s/^/$v /" )
[3]+  Done                    ( python3 pack_selection.py /tmp/sel$v.json /tmp/tr$v.npy > /dev/null 2>&1 && python3 train_nano.py --train_npy /tmp/tr$v.npy --heldout_npy data/multi_dev.npy --out_json /tmp/$v.json 2>&1 | grep HELDOUT | sed "s/^/$v /" )
N HELDOUT_PPL 317.308  loss 5.7599  train_s 174  /tmp/trN.npy
[2]+  Done                    ( python3 pack_selection.py /tmp/sel$v.json /tmp/tr$v.npy > /dev/null 2>&1 && python3 train_nano.py --train_npy /tmp/tr$v.npy --heldout_npy data/multi_dev.npy --out_json /tmp/$v.json 2>&1 | grep HELDOUT | sed "s/^/$v /" )
2477

[stdout]
O HELDOUT_PPL 316.955  loss 5.7588  train_s 174  /tmp/trO.npy
M HELDOUT_PPL 341.178  loss 5.8324  train_s 174  /tmp/trM.npy
[1]   Done                    ( python3 pack_selection.py /tmp/sel$v.json /tmp/tr$v.npy > /dev/null 2>&1 && python3 train_nano.py --train_npy /tmp/tr$v.npy --heldout_npy data/multi_dev.npy --out_json /tmp/$v.json 2>&1 | grep HELDOUT | sed "s/^/$v /" )
[3]+  Done                    ( python3 pack_selection.py /tmp/sel$v.json /tmp/tr$v.npy > /dev/null 2>&1 && python3 train_nano.py --train_npy /tmp/tr$v.npy --heldout_npy data/multi_dev.npy --out_json /tmp/$v.json 2>&1 | grep HELDOUT | sed "s/^/$v /" )
N HELDOUT_PPL 317.308  loss 5.7599  train_s 174  /tmp/trN.npy
[2]+  Done                    ( python3 pack_selection.py /tmp/sel$v.json /tmp/tr$v.npy > /dev/null 2>&1 && python3 train_nano.py --train_npy /tmp/tr$v.npy --heldout_npy data/multi_dev.npy --out_json /tmp/$v.json 2>&1 | grep HELDOUT | sed "s/^/$v /" )
2477
[metadata] {"noOutputExpected": false}

Command running in background with ID: behxeugcn. Output is being written to: /tmp/claude-0/-workspace/9df847d0-e162-4016-8bd5-af03c1e3e23f/tasks/behxeugcn.output. You will be notified when it completes. To check interim output, use Read on that file path.
Session cwd remains /workspace; directory changes made by the backgrounded command do not apply to subsequent commands.

[metadata] {"noOutputExpected": false, "backgroundTaskId": "behxeugcn", "backgroundCwdHint": "Session cwd remains /workspace; directory changes made by the backgrounded command do not apply to subsequent commands."}

Command running in background with ID: b4s8rj0m6. Output is being written to: /tmp/claude-0/-workspace/9df847d0-e162-4016-8bd5-af03c1e3e23f/tasks/b4s8rj0m6.output. You will be notified when it completes. To check interim output, use Read on that file path.
Session cwd remains /workspace; directory changes made by the backgrounded command do not apply to subsequent commands.

[metadata] {"noOutputExpected": false, "backgroundTaskId": "b4s8rj0m6", "backgroundCwdHint": "Session cwd remains /workspace; directory changes made by the backgrounded command do not apply to subsequent commands."}

File created successfully at: /workspace/RESULTS.md (file state is current in your context — no need to Read it back)

[metadata] {"type": "create", "filePath": "/workspace/RESULTS.md", "content": "# Dev sweep results\n\nFrozen `train_nano.py` (30M GPT, 3000 iters, seed 1337), 12M-token budget,\nheld-out = `data/multi_dev.npy`. Lower is better. All variants share the same\nhard quality gate and the same register classifier; only the selection rule\ndiffers. Register shares are **character** shares of the ordered list.\n\n| run | selection rule | wiki | qa | web | dev PPL |\n|---|---|---|---|---|---|\n| base | random pool sample (do-nothing) | — | — | — | 459.8 |\n| v1 | gate + single quality-vs-pool ranking | — | — | — | 434.4 |\n| I | stratified, **qa quota removed** | .50 | .00 | .50 | 443.4 |\n| M | stratified, **qa only** | .00 | 1.0 | .00 | 341.2 |\n| C | stratified | .15 | .15 | .70 | 332.7 |\n| A | stratified | .40 | .10 | .50 | 327.1 |\n| E | + dedup, length prior 0.45 | .34 | .33 | .33 | 325.2 |\n| K | + dedup + 15% dilution | .45 | .30 | .25 | 324.6 |\n| D | + dedup, length prior 0.15 | .34 | .33 | .33 | 324.1 |\n| v2 | stratified, length prior 0.15 | .25 | .25 | .50 | 321.4 |\n| B | stratified, length prior 0.15 | .34 | .33 | .33 | 320.3 |\n| F | + dedup, no length prior | .34 | .33 | .33 | 318.8 |\n| N | + dedup | .15 | .70 | .15 | 317.3 |\n| O | + dedup | .25 | .55 | .20 | 317.0 |\n| J | + dedup | .30 | .45 | .25 | 316.2 |\n| H | + dedup | .45 | .30 | .25 | 315.8 |\n| G | + dedup + 15% dilution | .34 | .33 | .33 | 315.3 |\n| **L** | **+ dedup (submitted)** | **.20** | **.60** | **.20** | **313.9** |\n\n## What the sweep shows\n\n1. **Cleanliness alone buys little.** Gate + a single quality-vs-pool ranking\n   (v1) gets 434.4, only 5.5% under the random baseline.\n\n2. **Stratification is the big lever.** Changing *only* the fill rule from one\n   global ranking to per-register quotas — same gate, same features, same\n   document scores — takes 434.4 → 321.4 (−26%). This is the central claim.\n\n3. **The quota vector has a clear interior optimum.** Both degenerate corners\n   collapse: dropping the qa quota gives 443.4 (worse than v1, essentially back\n   to baseline), and going qa-only gives 341.2. In between there is a broad flat\n   basin (≈314–318) for qa shares of 0.30–0.70. This falsifies the alternative\n   \"just concentrate on the single best-scoring register\" story.\n\n4. **Optimal *selection* shares ≠ target shares.** The best point puts 60% of the\n   budget on the `qa` direction, far above the ~25% that Q&A occupies in the\n   target. Inspection of what that direction selects explains it: the pool has\n   almost no HTML Q&A (96 documents with a `<p>` tag), so the classifier's qa\n   direction instead picks long-form expository/technical prose, which is useful\n   for *every* target register. Coverage still binds — hence the collapse at both\n   corners — but the mapping from target mixture to selection mixture is skewed by\n   which proxies the pool can actually supply.\n\n5. **Near-duplicate removal helps slightly and cheaply** (6,984 of 93,891 gated\n   documents flagged by MinHash over word 5-grams). At a 12M budget the model\n   already makes ~2 passes over the selection, so a near-dup pair is effectively\n   4 passes over that text.\n\n6. **The length prior was a mistake.** Ranking purely by register posterior beats\n   tilting toward longer documents: prior weight 0.0 → 318.8, 0.15 → 324.1,\n   0.45 → 325.2. It is set to 0 in the submitted script.\n\n7. **Diluting with random gated documents is roughly neutral** (G 315.3 vs F 318.8\n   suggested a small gain at 34/33/33; K 324.6 vs H 315.8 suggested a loss at\n   45/30/25). Inconsistent in sign, so it is not used in the submission.\n\n## Caveats\n\nDifferences below ~4 PPL are within the run-to-run spread I can resolve here, so\nthe ranking inside the 314–318 basin should not be read as significant; the\nsubmitted point is the best measured one inside that basin, and the basin is\nwide, which is the reassuring part. The gate thresholds themselves were set a\npriori from inspection of the pool and were not swept.\n", "structuredPatch": [], "originalFile": null, "userModified": false}

== curate:
qa: mean logP of its top 5000 = -4.686
web: mean logP of its top 5000 = -0.291
chars per register: {'wiki': 20.0, 'qa': 60.0, 'web': 20.0}
selected 23170 docs, 100.0M chars (~23.8M tokens)
wrote /workspace/submission/selection.json
docs 23170 identical to swept variant L: True
valid: True True True
== P (dilute):
HELDOUT_PPL 323.879  loss 5.7804  train_s 53  /tmp/trP.npy
2277

[stdout]
== curate:
qa: mean logP of its top 5000 = -4.686
web: mean logP of its top 5000 = -0.291
chars per register: {'wiki': 20.0, 'qa': 60.0, 'web': 20.0}
selected 23170 docs, 100.0M chars (~23.8M tokens)
wrote /workspace/submission/selection.json
docs 23170 identical to swept variant L: True
valid: True True True
== P (dilute):
HELDOUT_PPL 323.879  loss 5.7804  train_s 53  /tmp/trP.npy
2277
[metadata] {"noOutputExpected": false}

Command running in background with ID: bz1sv9hla. Output is being written to: /tmp/claude-0/-workspace/9df847d0-e162-4016-8bd5-af03c1e3e23f/tasks/bz1sv9hla.output. You will be notified when it completes. To check interim output, use Read on that file path.

[metadata] {"noOutputExpected": false, "backgroundTaskId": "bz1sv9hla"}

ok

[stdout]
ok
[metadata] {"noOutputExpected": false}

packed 12000000 tokens from 23170 ids -> /tmp/dev_train.npy
HELDOUT_PPL 313.922  loss 5.7491  train_s 53  /tmp/dev_train.npy
-rw-r--r-- 1 root root 7273 Aug  4 02:02 /workspace/claim.md

/workspace/submission:
total 172
drwxr-xr-x 1 root root    120 Aug  4 01:26 .
drwxr-xr-x 1 root root    220 Aug  4 01:59 ..
-rw-r--r-- 1 root root  12520 Aug  4 01:59 curate.py
-rw-r--r-- 1 root root 162503 Aug  4 02:00 selection.json
2126

[stdout]
packed 12000000 tokens from 23170 ids -> /tmp/dev_train.npy
HELDOUT_PPL 313.922  loss 5.7491  train_s 53  /tmp/dev_train.npy
-rw-r--r-- 1 root root 7273 Aug  4 02:02 /workspace/claim.md

/workspace/submission:
total 172
drwxr-xr-x 1 root root    120 Aug  4 01:26 .
drwxr-xr-x 1 root root    220 Aug  4 01:59 ..
-rw-r--r-- 1 root root  12520 Aug  4 01:59 curate.py
-rw-r--r-- 1 root root 162503 Aug  4 02:00 selection.json
2126
[metadata] {"noOutputExpected": false}