gpt-5.6-sol
nano-gpt-data-curation — graded by the task's verifier against a measured baseline.
- backend
- modal
- variant
- codex azure_ai/gpt-5.6-sol
- metric
- held-out multi-domain perplexity
- actions
- 210
- duration
- 1h
- recorded
- 2026-08-04
run iddclm-nano-curation__z2rZFLJ
Everything gpt-5.6-sol did on this task, in order.
download JSON ↗encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "46",
"yield_time_ms": 30000,
"max_tokens": 4000
}wait result
Script completed
Wall time 1.7 seconds
Output:
HELDOUT_PPL 353.777 loss 5.8687 train_s 54 /tmp/dev_train.npy
(dev PPL on multi_dev; official uses a hidden disjoint sample of the same HQ domain)
{"exit_code":0,"wall":15.971872468}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"env USE_TF=0 USE_FLAX=0 TRANSFORMERS_OFFLINE=1 bash dev_eval.sh candidates/balanced.json | tee candidates/balanced.eval\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":3000,\"tty\":true}); text(JSON.stringify(r));\n"
}exec result
Script completed
Wall time 1.3 seconds
Output:
{"chunk_id":"2a64ea","wall_time_seconds":1.002214416,"session_id":28795,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:28795,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output); text(JSON.stringify({session_id:r.session_id,exit_code:r.exit_code,wall:r.wall_time_seconds}));\n"
}exec result
Script running with cell ID 48
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "48",
"yield_time_ms": 30000,
"max_tokens": 4000
}wait result
Script completed
Wall time 16.2 seconds
Output:
Token indices sequence length is longer than the specified maximum sequence length for this model (1404 > 1024). Running this sequence through the model will result in indexing errors
packed 12000000 tokens from 43036 ids -> /tmp/dev_train.npy
{"session_id":28795,"wall":30.001735573}The tighter domain match improved again, to 353.78 perplexity. I’m testing the strongest precomputed affinity setting now. If that continues the trend, I’ll probe one still-harder setting; if it reverses, I’ll refine between the two best points.
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:28795,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output); text(JSON.stringify({session_id:r.session_id,exit_code:r.exit_code,wall:r.wall_time_seconds}));\n"
}exec result
Script running with cell ID 49
Wall time 11.1 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "49",
"yield_time_ms": 30000,
"max_tokens": 4000
}wait result
Script completed
Wall time 15.6 seconds
Output:
{"session_id":28795,"wall":30.002083431}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:28795,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output); text(JSON.stringify({session_id:r.session_id,exit_code:r.exit_code,wall:r.wall_time_seconds}));\n"
}exec result
Script running with cell ID 50
Wall time 11.1 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "50",
"yield_time_ms": 30000,
"max_tokens": 4000
}wait result
Script completed
Wall time 3.1 seconds
Output:
HELDOUT_PPL 317.507 loss 5.7605 train_s 53 /tmp/dev_train.npy
(dev PPL on multi_dev; official uses a hidden disjoint sample of the same HQ domain)
{"exit_code":0,"wall":17.882991681}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Add File: /tmp/more_candidates.py\\n+import json, numpy as np, math\\n+S=np.load('/workspace/candidates/scores.npz')\\n+ids=S['ids']; chars=S['chars']; q=S['q']; p=S['p']; h=S['h']\\n+valid=(chars>=500)&(chars<=35000)&(h>0.15)\\n+source=np.where(ids<115000,.18,-.10)\\n+base=q+.60*h+source\\n+for dw in [1.5,2.0,3.0,4.0]:\\n+ ranks=[]\\n+ for d in range(4):\\n+ sc=base+dw*np.log(np.maximum(p[:,d],1e-5))\\n+ ix=np.where(valid)[0]; ranks.append(ix[np.argsort(-sc[ix],kind='stable')])\\n+ ptr=[0]*4; used=set(); totals=np.zeros(4); out=[]; assigned=[]\\n+ while totals.sum()<150_000_000 and len(out)<70000:\\n+ d=int(np.argmin(totals+1e-6*np.arange(4)))\\n+ while ptr[d]<len(ranks[d]) and int(ranks[d][ptr[d]]) in used: ptr[d]+=1\\n+ if ptr[d]>=len(ranks[d]): break\\n+ j=int(ranks[d][ptr[d]]); ptr[d]+=1; used.add(j); out.append(j); assigned.append(d); totals[d]+=chars[j]\\n+ json.dump(out,open(f'/workspace/candidates/balanced{dw}.json','w'))\\n+ json.dump(assigned,open(f'/workspace/candidates/balanced{dw}.domains.json','w'))\\n+ print(dw,len(out),totals,np.mean(q[out]),np.mean(h[out]))\\n*** End Patch\";\ntext(await tools.apply_patch(patch));\nconst r = await tools.exec_command({cmd:\"python /tmp/more_candidates.py && cat .timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":3000}); text(r.output);\n"
}exec result
Script completed
Wall time 1.7 seconds
Output:
{}1.5 45305 [37505607. 37493075. 37486919. 37516427.] -0.06692912363740183 2.29990119291392
2.0 46032 [37499090. 37502235. 37505912. 37497935.] -0.07380837164123309 2.262550349025323
3.0 46929 [37498187. 37500237. 37499214. 37502802.] -0.08552166358711293 2.2078882128395962
4.0 47527 [37498154. 37502088. 37508020. 37500755.] -0.0955734338548395 2.1701485992705907
4193
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"env USE_TF=0 USE_FLAX=0 TRANSFORMERS_OFFLINE=1 bash dev_eval.sh candidates/balanced2.0.json | tee candidates/balanced2.0.eval\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":3000,\"tty\":true}); text(JSON.stringify(r));\n"
}exec result
Script completed
Wall time 1.3 seconds
Output:
{"chunk_id":"eb2ad6","wall_time_seconds":1.001631826,"session_id":91404,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:91404,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output); text(JSON.stringify({session_id:r.session_id,exit_code:r.exit_code,wall:r.wall_time_seconds}));\n"
}exec result
Script running with cell ID 53
Wall time 11.1 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "53",
"yield_time_ms": 30000,
"max_tokens": 4000
}wait result
Script completed
Wall time 16.3 seconds
Output:
Token indices sequence length is longer than the specified maximum sequence length for this model (1404 > 1024). Running this sequence through the model will result in indexing errors
packed 12000000 tokens from 46032 ids -> /tmp/dev_train.npy
{"session_id":91404,"wall":30.001539309}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:91404,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output); text(JSON.stringify({session_id:r.session_id,exit_code:r.exit_code,wall:r.wall_time_seconds}));\n"
}exec result
Script running with cell ID 54
Wall time 11.1 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "54",
"yield_time_ms": 30000,
"max_tokens": 4000
}wait result
Script completed
Wall time 10.2 seconds
Output:
{"session_id":91404,"wall":30.002228026}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:91404,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output); text(JSON.stringify({session_id:r.session_id,exit_code:r.exit_code,wall:r.wall_time_seconds}));\n"
}exec result
Script running with cell ID 55
Wall time 11.1 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "55",
"yield_time_ms": 30000,
"max_tokens": 4000
}wait result
Script completed
Wall time 1.4 seconds
Output:
HELDOUT_PPL 316.943 loss 5.7587 train_s 53 /tmp/dev_train.npy
(dev PPL on multi_dev; official uses a hidden disjoint sample of the same HQ domain)
{"exit_code":0,"wall":17.538080109}Hard affinity is near a plateau: weight 2.0 scored 316.94 versus 317.51 at 1.15. I’m checking weight 3.0 to locate the boundary. The small gain now suggests the remaining opportunity is likely better token-level quota calibration rather than ever-stronger stylistic matching.
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"env USE_TF=0 USE_FLAX=0 TRANSFORMERS_OFFLINE=1 bash dev_eval.sh candidates/balanced3.0.json | tee candidates/balanced3.0.eval\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":3000,\"tty\":true}); text(JSON.stringify(r));\n"
}exec result
Script completed
Wall time 1.3 seconds
Output:
{"chunk_id":"655fdc","wall_time_seconds":1.001824527,"session_id":68346,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:68346,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output); text(JSON.stringify({session_id:r.session_id,exit_code:r.exit_code,wall:r.wall_time_seconds}));\n"
}exec result
Script running with cell ID 57
Wall time 11.1 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "57",
"yield_time_ms": 30000,
"max_tokens": 4000
}wait result
Script completed
Wall time 14.0 seconds
Output:
Token indices sequence length is longer than the specified maximum sequence length for this model (1404 > 1024). Running this sequence through the model will result in indexing errors
packed 12000000 tokens from 46929 ids -> /tmp/dev_train.npy
{"session_id":68346,"wall":30.001622567}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:68346,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output); text(JSON.stringify({session_id:r.session_id,exit_code:r.exit_code,wall:r.wall_time_seconds}));\n"
}exec result
Script running with cell ID 58
Wall time 11.1 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "58",
"yield_time_ms": 30000,
"max_tokens": 4000
}wait result
Script completed
Wall time 15.9 seconds
Output:
{"session_id":68346,"wall":30.001217685}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:68346,chars:\"\",yield_time_ms:30000,max_output_tokens:3000}); text(r.output); text(JSON.stringify({session_id:r.session_id,exit_code:r.exit_code,wall:r.wall_time_seconds}));\n"
}exec result
Script running with cell ID 59
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "59",
"yield_time_ms": 30000,
"max_tokens": 4000
}wait result
Script completed
Wall time 0.0 seconds
Output:
HELDOUT_PPL 334.051 loss 5.8113 train_s 54 /tmp/dev_train.npy
(dev PPL on multi_dev; official uses a hidden disjoint sample of the same HQ domain)
{"exit_code":0,"wall":11.428850928}