gpt-5.6-sol
on-policy-self-distillation — graded by the task's verifier against a measured baseline.
- backend
- modal
- variant
- codex azure_ai/gpt-5.6-sol
- metric
- AIME24 avg@12 accuracy
- actions
- 636
- duration
- 8h 10m
- recorded
- 2026-08-03
run idopsd-aime24-4gpus__3tyLi4e
Everything gpt-5.6-sol did on this task, in order.
download JSON ↗encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "109",
"yield_time_ms": 50000,
"max_tokens": 300
}wait result
Script completed
Wall time 34.9 seconds
Output:
Processed prompts: 62%|▋| 60/96 [12:38<06:59, 11.64s/it, est. speed input: 9.5
Processed prompts: 75%|▊| 72/96 [13:08<03:24, 8.52s/it, est. speed input: 10.encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:35310,chars:\"\",yield_time_ms:50000,max_output_tokens:300});\ntext(r.output);"
}exec result
Script running with cell ID 110
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "110",
"yield_time_ms": 50000,
"max_tokens": 300
}wait result
Script completed
Wall time 33.3 seconds
Output:
Processed prompts: 29%|▎| 24/84 [13:43<30:04, 30.08s/it, est. speed input: 3.1encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:35310,chars:\"\",yield_time_ms:50000,max_output_tokens:300});\ntext(r.output);"
}exec result
Script running with cell ID 111
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "111",
"yield_time_ms": 50000,
"max_tokens": 300
}wait result
Script completed
Wall time 34.6 seconds
Output:
Processed prompts: 43%|▍| 36/84 [15:01<15:26, 19.31s/it, est. speed input: 4.2
Processed prompts: 88%|▉| 84/96 [15:14<01:50, 9.17s/it, est. speed input: 14.encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:35310,chars:\"\",yield_time_ms:50000,max_output_tokens:300});\ntext(r.output);"
}exec result
Script running with cell ID 112
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "112",
"yield_time_ms": 50000,
"max_tokens": 300
}wait result
Script completed
Wall time 34.3 seconds
Output:
Processed prompts: 100%|█| 96/96 [15:23<00:00, 6.50s/it, est. speed input: 16.
Processed prompts: 100%|█| 96/96 [15:23<00:00, 6.50s/it, est. speed input: 16.
Processed prompts: 100%|█| 96/96 [15:23<00:00, 9.62s/it, est. speed input: 16.
Processed prompts: 38%|▍| 36/96 [15:51<27:22, 27.37s/it, est. speed input: 4.9encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:35310,chars:\"\",yield_time_ms:50000,max_output_tokens:300});\ntext(r.output);"
}exec result
Script running with cell ID 113
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "113",
"yield_time_ms": 50000,
"max_tokens": 300
}wait result
Script completed
Wall time 32.0 seconds
Output:
Processed prompts: 57%|▌| 48/84 [16:18<08:31, 14.21s/it, est. speed input: 5.2
Processed prompts: 100%|█| 84/84 [16:57<00:00, 12.79s/it, est. speed input: 8.5
Processed prompts: 100%|█| 84/84 [16:57<00:00, 12.79s/it, est. speed input: 8.5
Processed prompts: 100%|█| 84/84 [16:57<00:00, 12.11s/it, est. speed input: 8.5
Processed prompts: 71%|▋| 60/84 [16:59<04:08, 10.34s/it, est. speed input: 6.0encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:35310,chars:\"\",yield_time_ms:50000,max_output_tokens:300});\ntext(r.output);"
}exec result
Script running with cell ID 114
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "114",
"yield_time_ms": 50000,
"max_tokens": 300
}wait result
Script completed
Wall time 25.2 seconds
Output:
Processed prompts: 50%|▌| 48/96 [17:34<15:57, 19.94s/it, est. speed input: 6.7
Processed prompts: 62%|▋| 60/96 [18:02<08:09, 13.60s/it, est. speed input: 8.5encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:35310,chars:\"\",yield_time_ms:50000,max_output_tokens:300});\ntext(r.output);"
}exec result
Script running with cell ID 115
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "115",
"yield_time_ms": 50000,
"max_tokens": 300
}wait result
Script completed
Wall time 33.1 seconds
Output:
Processed prompts: 75%|▊| 72/96 [18:45<04:04, 10.18s/it, est. speed input: 9.4
Processed prompts: 86%|▊| 72/84 [18:57<02:01, 10.16s/it, est. speed input: 7.7
Processed prompts: 100%|█| 84/84 [19:00<00:00, 6.91s/it, est. speed input: 8.7
Processed prompts: 100%|█| 84/84 [19:00<00:00, 6.91s/it, est. speed input: 8.7
Processed prompts: 100%|█| 84/84 [19:00<00:00, 13.57s/it, est. speed input: 8.7
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:35310,chars:\"\",yield_time_ms:50000,max_output_tokens:500});\ntext(r.output);"
}exec result
Script running with cell ID 116
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "116",
"yield_time_ms": 50000,
"max_tokens": 500
}wait result
Script completed
Wall time 35.6 seconds
Output:
Processed prompts: 88%|▉| 84/96 [19:48<01:42, 8.57s/it, est. speed input: 9.7
Processed prompts: 100%|█| 96/96 [20:24<00:00, 6.80s/it, est. speed input: 10.
Processed prompts: 100%|█| 96/96 [20:24<00:00, 6.80s/it, est. speed input: 10.
Processed prompts: 100%|█| 96/96 [20:24<00:00, 12.75s/it, est. speed input: 10.
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:35310,chars:\"\",yield_time_ms:10000,max_output_tokens:1000});\ntext(r.output);"
}exec result
Script completed
Wall time 0.0 seconds
Output:
FINAL avg@12 accuracy: 53.89% (194/360 solutions correct on 30 problems)
Results written to /workspace/eval_results/frontier_v1_rep2_full.json
Repeat two scored 53.89% (194/360), so the two-run mean is 55.14%: still +0.92 over baseline, but with a 2.50-point spread. The candidate is directionally positive, not yet decisive. I’m inspecting whether the low repeat lost reasoning or merely format, then I’ll test the full-response verified term refinement rather than prematurely locking in a noisy result.
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport json\\nfiles=['/workspace/baseline/logs/official_eval_result.json','/workspace/eval_results/frontier_v1_full.json','/workspace/eval_results/frontier_v1_rep2_full.json']\\nxs=[json.load(open(f)) for f in files]\\nfor f,x in zip(files,xs): print(f,x['average_at_n_pct'],x['format_rate_pct'])\\nRs=[{z['problem_id']:z for z in x['results']} for x in xs]\\nprint('id base r1 r2 avgdelta')\\nfor i in sorted(Rs[0]):\\n a=[r[i]['num_correct'] for r in Rs]\\n print(i,*a,round((a[1]+a[2])/2-a[0],1))\\nPY\\ncat /workspace/.timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":6000});\ntext(r.output);"
}exec result
Script completed
Wall time 0.1 seconds
Output:
/workspace/baseline/logs/official_eval_result.json 54.44444444444444 96.94444444444444
/workspace/eval_results/frontier_v1_full.json 56.388888888888886 99.72222222222223
/workspace/eval_results/frontier_v1_rep2_full.json 53.888888888888886 100.0
id base r1 r2 avgdelta
60 12 12 12 0.0
61 10 10 11 0.5
62 0 0 0 0.0
63 0 0 0 0.0
64 5 6 4 0.0
65 6 4 5 -1.5
66 11 12 9 -0.5
67 12 12 12 0.0
68 12 12 10 -1.0
69 12 12 12 0.0
70 5 6 7 1.5
71 12 12 12 0.0
72 12 12 12 0.0
73 0 0 0 0.0
74 10 10 10 0.0
75 2 3 2 0.5
76 10 8 9 -1.5
77 1 3 0 0.5
78 5 9 3 1.0
79 12 12 12 0.0
80 2 3 8 3.5
81 0 0 0 0.0
82 7 7 8 0.5
83 11 10 12 0.0
84 11 12 12 1.0
85 0 0 0 0.0
86 12 10 11 -1.5
87 4 6 1 -0.5
88 0 0 0 0.0
89 0 0 0 0.0
16551
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const patch = \"*** Begin Patch\\n*** Update File: /workspace/repo/opsd_trainer.py\\n@@\\n- correct_weights = correct_mask.to(token_jsd.dtype) * position_weights.unsqueeze(0)\\n+ # The correctness anchor covers the whole successful trajectory,\\n+ # including late final-answer and boxing tokens. Unlike the dense\\n+ # teacher KL, it should not discount those late tokens.\\n+ correct_weights = correct_mask.to(token_jsd.dtype)\\n*** End Patch\";\ntext(await tools.apply_patch(patch));\nconst r = await tools.exec_command({cmd:\"python -m py_compile opsd_trainer.py && git diff --check -- opsd_trainer.py data_collator.py opsd_train.py\",\"workdir\":\"/workspace/repo\",\"yield_time_ms\":10000,\"max_output_tokens\":3000});\ntext(r.output);"
}exec result
Script completed
Wall time 0.2 seconds
Output:
{}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"SEED=42 OUT_DIR=/workspace/runs/frontier_v2 PORT=12952 bash /workspace/train_capped.sh\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":600,\"tty\":true});\ntext(JSON.stringify(r));"
}exec result
Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"99a0c3","wall_time_seconds":1.00180569,"session_id":63578,"original_token_count":0,"output":""}encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:63578,chars:\"\",yield_time_ms:50000,max_output_tokens:300});\ntext(r.output);"
}exec result
Script running with cell ID 121
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "121",
"yield_time_ms": 50000,
"max_tokens": 300
}wait result
Script completed
Wall time 34.8 seconds
Output:
Warning: truncated output (original token count: 327)
Total output lines: 19
Warning: truncated output (original token count: 3394)
Total output lines: 169
<string>:24: FutureWarning: `torch_dtype` is deprecated and will be removed in version 0.27.0, please use `dtype` instead.
================================================================================
RUN CONFIGURATION
================================================================================
WandB Run Name: capped_seed42_lr5e-6_bs32
Output Directory: /workspace/runs/frontier_v2/capped_seed42
================================================================================
=====================…27 tokens truncated…] If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'] to specific architectures.
0%| | 0/100 [00:00<?, ?it/s]vLLM generation done - elapsed time: 3.70s, prompts: 4, total tokens: 2785, avg length: 696.2, speed: 753.7 tok/s
vLLM generation done - elapsed time: 3.69s, prompts: 4, total tokens: 3158, avg length: 789.5, speed: 856.4 tok/s
vLLM generation done - elapsed time: 3.74s, prompts: 4, total tokens: 3511, avg length: 877.8, speed: 938.7 tok/s
vLLM generation done - elapsed time: 3.79s, prompts: 4, total tokens: 3617, avg length: 904.2, speed: 955.1 tok/s
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:63578,chars:\"\",yield_time_ms:50000,max_output_tokens:200});\ntext(r.output);"
}exec result
Script running with cell ID 122
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "122",
"yield_time_ms": 50000,
"max_tokens": 200
}wait result
Script completed
Wall time 33.1 seconds
Output:
Warning: truncated output (original token count: 227)
Total output lines: 11
Warning: truncated output (original token count: 3038)
Total output lines: 170
/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
warnings.warn(
/usr/local/lib/python3.10/dist-packages/torch/utils/checkpoint.py:85: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
…27 tokens truncated… tokens: 2716, avg length: 679.0, speed: 758.1 tok/s
vLLM generation done - elapsed time: 3.66s, prompts: 4, total tokens: 2993, avg length: 748.2, speed: 817.8 tok/s
vLLM generation done - elapsed time: 3.68s, prompts: 4, total tokens: 3390, avg length: 847.5, speed: 921.2 tok/s
vLLM generation done - elapsed time: 3.71s, prompts: 4, total tokens: 3822, avg length: 955.5, speed: 1029.4 tok/s
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:63578,chars:\"\",yield_time_ms:50000,max_output_tokens:200});\ntext(r.output);"
}exec result
Script running with cell ID 123
Wall time 11.0 seconds
Output: