on-policy-self-distillation

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: 627
duration: 6h 30m
recorded: 2026-08-02

run idopsd-aime24-4gpus__RqGcDty

Everything gpt-5.6-sol did on this task, in order.

download JSON ↗

codexgpt-5.6-sol684 turns57 narration627 reasoning627 action627 observation1 final

#26

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:71812,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);\n"
}

exec result

Script running with cell ID 21
Wall time 11.0 seconds
Output:

#27

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "21",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}

wait result

Script completed
Wall time 16.3 seconds
Output:
Warning: truncated output (original token count: 3027)
Total output lines: 66

Warning: truncated output (original token count: 5013)
Total output lines: 63


Tokenizing train dataset:  24%|██▍       | 1020/4199 [00:05<00:27, 113.76 examples/s]
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Tokenizing train dataset:  57%|…27 tokens truncated… train dataset:  94%|█████████▍| 3955/4199 [00:23<00:01, 173.30 examples/s]
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Tokenizing train dataset: 100%|██████████| 4199/4199 [00:25<00:00, 120.96 examples/s]
Tokenizing train dataset: 100%|██████████| 4199/4199 [00:25<00:00, 163.21 examples/s]

Truncating train dataset:   0%|          | 0/4199 [00:00<?, ? examples/s]
Truncating train dataset:  71%|███████▏  | 3000/4199 [00:00<00:00, 20176.43 examples/s]
Truncating train dataset: 100%|██████████| 4199/4199 [00:00<00:00, 19954.70 examples/s]
Detected kernel version 4.19.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.

================================================================================
FIXED TEACHER MODE ENABLED
Teacher will use the initial policy (base model without LoRA adapters)
Student will update with LoRA adapters
================================================================================


================================================================================
FIXED TEACHER MODE ENABLED
Teacher will use the initial policy (base model without LoRA adapters)
Student will update with LoRA adapters
================================================================================


================================================================================
FIXED TEACHER MODE ENABLED
Teacher will use the initial policy (base model without LoRA adapters)
Student will update with LoRA adapters
================================================================================


================================================================================
FIXED TEACHER MODE ENABLED
Teacher will use the initial policy (base model without LoRA adapters)
Student will update with LoRA adapters
================================================================================

`torch_dtype` is deprecated! Use `dtype` instead!
`torch_dtype` is deprecated! Use `dtype` instead!
`torch_dtype` is deprecated! Use `dtype` instead!
`torch_dtype` is deprecated! Use `dtype` instead!
[Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank [Gloo] Rank 21 is connected to 3 is connected to 3 peer ranks. Expected number of connected peer ranks is :  peer ranks. Expected number of connected peer ranks is : 3
3
[Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0

Loading safetensors checkpoint shards:   0% Completed | 0/2 [00:00<?, ?it/s]

Loading safetensors checkpoint shards: 100% Completed | 2/2 [00:00<00:00,  2.51it/s]

Loading safetensors checkpoint shards: 100% Completed | 2/2 [00:00<00:00,  2.51it/s]

#28

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:71812,chars:\"\",yield_time_ms:30000,max_output_tokens:2000});\ntext(r.output);\n"
}

exec result

Script running with cell ID 22
Wall time 11.0 seconds
Output:

#29

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "22",
  "yield_time_ms": 30000,
  "max_tokens": 2000
}

wait result

Script completed
Wall time 16.1 seconds
Output:

Capturing CUDA graphs (mixed prefill-decode, PIECEWISE):   0%|          | 0/5 [00:00<?, ?it/s]
Capturing CUDA graphs (mixed prefill-decode, PIECEWISE):  40%|████      | 2/5 [00:00<00:00, 17.33it/s]
Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 100%|██████████| 5/5 [00:00<00:00, 20.60it/s]
Capturing CUDA graphs (mixed prefill-decode, PIECEWISE): 100%|██████████| 5/5 [00:00<00:00, 20.12it/s]

Capturing CUDA graphs (decode, FULL):   0%|          | 0/4 [00:00<?, ?it/s]
Capturing CUDA graphs (decode, FULL):  75%|███████▌  | 3/4 [00:00<00:00, 27.11it/s]
Capturing CUDA graphs (decode, FULL): 100%|██████████| 4/4 [00:00<00:00, 28.16it/s]

#30

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:71812,chars:\"\",yield_time_ms:30000,max_output_tokens:2000});\ntext(r.output);\n"
}

exec result

Script running with cell ID 23
Wall time 11.0 seconds
Output:

#31

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "23",
  "yield_time_ms": 30000,
  "max_tokens": 2000
}

wait result

Script completed
Wall time 16.2 seconds
Output:
The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': None, 'pad_token_id': 151643}.
The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': None, 'pad_token_id': 151643}.
The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': None, 'pad_token_id': 151643}.
The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': None, 'pad_token_id': 151643}.
[rank0]:W0802 18:33:07.314000 935 torch/utils/cpp_extension.py:2425] TORCH_CUDA_ARCH_LIST is not set, all archs for visible cards are included for compilation. 
[rank0]:W0802 18:33:07.314000 935 torch/utils/cpp_extension.py:2425] If this is not desired, please set os.environ['TORCH_CUDA_ARCH_LIST'] to specific architectures.

#32

narration

The domain mixture initialized cleanly. One implementation detail is worth noting for the final method: the dataset preprocessing currently runs independently on all four ranks, which adds startup noise but does not alter examples or the training budget. Once this run finishes, I’ll compare the full 360-sample AIME result—not a partial metric—before deciding whether to retain the replay ratio.

#33

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:71812,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);\n"
}

exec result

Script running with cell ID 24
Wall time 11.0 seconds
Output:

#34

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "24",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}

wait result

Script completed
Wall time 15.6 seconds
Output:

  0%|          | 0/100 [00:00<?, ?it/s]vLLM generation done - elapsed time: 3.20s, prompts: 4, total tokens: 2307, avg length: 576.8, speed: 721.4 tok/s
vLLM generation done - elapsed time: 3.39s, prompts: 4, total tokens: 3434, avg length: 858.5, speed: 1012.8 tok/s
vLLM generation done - elapsed time: 3.43s, prompts: 4, total tokens: 4096, avg length: 1024.0, speed: 1193.2 tok/s
vLLM generation done - elapsed time: 3.22s, prompts: 4, total tokens: 2266, avg length: 566.5, speed: 704.7 tok/s
/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
  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
  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
  warnings.warn(
Could not estimate the number of tokens of the input, floating-point operations will not be computed
Could not estimate the number of tokens of the input, floating-point operations will not be computed
Could not estimate the number of tokens of the input, floating-point operations will not be computed
Could not estimate the number of tokens of the input, floating-point operations will not be computed
vLLM generation done - elapsed time: 3.30s, prompts: 4, total tokens: 2770, avg length: 692.5, speed: 840.5 tok/s
vLLM generation done - elapsed time: 3.33s, prompts: 4, total tokens: 3191, avg length: 797.8, speed: 956.8 tok/s
vLLM generation done - elapsed time: 3.34s, prompts: 4, total tokens: 3186, avg length: 796.5, speed: 955.2 tok/s
vLLM generation done - elapsed time: 3.43s, prompts: 4, total tokens: 4053, avg length: 1013.2, speed: 1180.6 tok/s

  1%|          | 1/100 [00:08<13:26,  8.15s/it]vLLM generation done - elapsed time: 3.22s, prompts: 4, total tokens: 2719, avg length: 679.8, speed: 844.5 tok/s
vLLM generation done - elapsed time: 3.28s, prompts: 4, total tokens: 2572, avg length: 643.0, speed: 784.5 tok/s
vLLM generation done - elapsed time: 3.29s, prompts: 4, total tokens: 3130, avg length: 782.5, speed: 951.7 tok/s
vLLM generation done - elapsed time: 3.36s, prompts: 4, total tokens: 3114, avg length: 778.5, speed: 927.8 tok/s
vLLM generation done - elapsed time: 3.30s, prompts: 4, total tokens: 2743, avg length: 685.8, speed: 830.0 tok/s
vLLM generation done - elapsed time: 3.34s, prompts: 4, total tokens: 3227, avg length: 806.8, speed: 965.6 tok/s
vLLM generation done - elapsed time: 3.35s, prompts: 4, total tokens: 2981, avg length: 745.2, speed: 891.1 tok/s
vLLM generation done - elapsed time: 3.37s, prompts: 4, total tokens: 3432, avg length: 858.0, speed: 1019.1 tok/s

  2%|▏         | 2/100 [00:16<13:13,  8.09s/it]
                                               
{'loss': 0.0094, 'grad_norm': 0.15480275452136993, 'learning_rate': 5e-06, 'on_policy_loss': 0.0094, 'epoch': 0.02}

  2%|▏         | 2/100 [00:16<13:13,  8.09s/it]vLLM generation done - elapsed time: 3.17s, prompts: 4, total tokens: 2218, avg length: 554.5, speed: 698.6 tok/s
vLLM generation done - elapsed time: 3.24s, prompts: 4, total tokens: 2654, avg length: 663.5, speed: 818.4 tok/s
vLLM generation done - elapsed time: 3.38s, prompts: 4, total tokens: 3913, avg length: 978.2, speed: 1158.2 tok/s
vLLM generation done - elapsed time: 3.41s, prompts: 4, total tokens: 3829, avg length: 957.2, speed: 1123.1 tok/s
vLLM generation done - elapsed time: 3.26s, prompts: 4, total tokens: 2630, avg length: 657.5, speed: 806.6 tok/s
vLLM generation done - elapsed time: 3.28s, prompts: 4, total tokens: 2937, avg length: 734.2, speed: 896.0 tok/s
vLLM generation done - elapsed time: 3.36s, prompts: 4, total tokens: 3718, avg length: 929.5, speed: 1104.9 tok/s
vLLM generation done - elapsed time: 3.38s, prompts: 4, total tokens: 3527, avg length: 881.8, speed: 1044.6 tok/s

  3%|▎         | 3/100 [00:24<13:06,  8.11s/it]vLLM generation done - elapsed time: 3.18s, prompts: 4, total tokens: 2207, avg length: 551.8, speed: 694.4 tok/s
vLLM generation done - elapsed time: 3.29s, prompts: 4, total tokens: 2595, avg length: 648.8, speed: 787.7 tok/s
vLLM generation done - elapsed time: 3.33s, prompts: 4, total tokens: 3065, avg length: 766.2, speed: 920.8 tok/s
vLLM generation done - elapsed time: 3.38s, prompts: 4, total tokens: 3947, avg length: 986.8, speed: 1169.2 tok/s
vLLM generation done - elapsed time: 3.33s, prompts: 4, total tokens: 3273, avg length: 818.2, speed: 983.4 tok/s
vLLM generation done - elapsed time: 3.33s, prompts: 4, total tokens: 2889, avg length: 722.2, speed: 866.9 tok/s
vLLM generation done - elapsed time: 3.37s, prompts: 4, total tokens: 3832, avg length: 958.0, speed: 1137.9 tok/s
vLLM generation done - elapsed time: 3.38s, prompts: 4, total tokens: 3740, avg length: 935.0, speed: 1105.4 tok/s

  4%|▍         | 4/100 [00:32<12:58,  8.11s/it]
                                               
{'loss': 0.0071, 'grad_norm': 0.14571616053581238, 'learning_rate': 5e-06, 'on_policy_loss': 0.0071, 'epoch': 0.03}

  4%|▍         | 4/100 [00:32<12:58,  8.11s/it]vLLM generation done - elapsed time: 2.11s, prompts: 4, total tokens: 1649, avg length: 412.2, speed: 782.7 tok/s
vLLM generation done - elapsed time: 2.89s, prompts: 4, total tokens: 2437, avg length: 609.2, speed: 844.4 tok/s
vLLM generation done - elapsed time: 3.27s, prompts: 4, total tokens: 2853, avg length: 713.2, speed: 872.3 tok/s
vLLM generation done - elapsed time: 3.33s, prompts: 4, total tokens: 3109, avg length: 777.2, speed: 933.6 tok/s

#35

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:71812,chars:\"\",yield_time_ms:30000,max_output_tokens:1000});\ntext(r.output);\n"
}

exec result

Script running with cell ID 25
Wall time 11.0 seconds
Output:

#36

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "25",
  "yield_time_ms": 30000,
  "max_tokens": 1000
}

wait result

Script completed
Wall time 16.3 seconds
Output:
Warning: truncated output (original token count: 1027)
Total output lines: 38

Warning: truncated output (original token count: 2288)
Total output lines: 146

vLLM generation done - elapsed time: 3.27s, prompts: 4, total tokens: 2981, avg length: 745.2, speed: 910.4 tok/s
vLLM generation done - elapsed time: 3.28s, prompts: 4, total tokens: 3129, avg length: 782.2, speed: 954.8 tok/s
vLLM generation done - elapsed time: 3.29s, prompts: 4, total tokens: 2982, avg length: 745.5, speed: 905.6 tok/s
vLLM generation done - elapsed time: 3.39s, prompts: 4, total tokens: 3503, avg length: 875.8, speed: 1033.6 tok/s

  5%|▌         | 5/100 [00:40<12:47,  8.08s/it]vLLM generation done - elapsed time: 3.32s, prompts: 4, total tokens: 2979, avg length: 744.8, speed: 896.3 tok/s
vLLM generation done - elapsed time: 3.37s, prompts: 4, total tokens: 3729, avg length: 932.2, speed: 1106.8 tok/s
vLLM generation done - elapsed time: 3.38s, prompts: 4, total tokens: 3498, avg length: 874.5, speed: 1036.4 tok/s
vLLM generation done - elapsed time: 3.41s, prompts: 4, total tokens: 4096, avg length: 1024.0, speed: 1202.3 tok/s
vLLM generation done - elapsed time: 3.30s, prompts: 4, total tokens: 2917, avg length: 729.2, speed: 882.8 tok/s
vLLM generation done - elapsed time: 3.33s, prompts: 4, total tokens: 3004, avg length: 751.0, speed: 900.9 tok/s
vLLM generation done - elapsed time: 3.36s, prompts: 4, total tokens: 3428, avg length: 857.0, speed: 1021.7 tok/s
vLLM generation done - elapsed time: 3.36s, prompts: 4, total tokens: 3494, avg length: 873.5, speed: 1039.8 tok/s

================================================================================
Saved 48 generation outputs to:
  /workspace/runs/domain_only/capped_seed42/generations/generations_step_5.json
================================================================================


  6%|▌         | 6/100 [00:48<12:41,  8.10s/it]
                                               
{'loss': 0.0069, 'grad_norm': 0.13645072281360626, 'learning_rate': 5e-06, 'on_policy_loss': 0.0069, 'epoch': 0.05}

  6…27 tokens truncated…e: 3.35s, prompts: 4, total tokens: 3282, avg length: 820.5, speed: 981.0 tok/s
vLLM generation done - elapsed time: 3.37s, prompts: 4, total tokens: 3340, avg length: 835.0, speed: 991.1 tok/s
vLLM generation done - elapsed time: 3.37s, prompts: 4, total tokens: 3961, avg length: 990.2, speed: 1175.3 tok/s

  8%|▊         | 8/100 [01:04<12:21,  8.06s/it]
                                               
{'loss': 0.0066, 'grad_norm': 0.10821174085140228, 'learning_rate': 5e-06, 'on_policy_loss': 0.0066, 'epoch': 0.06}

  8%|▊         | 8/100 [01:04<12:21,  8.06s/it]vLLM generation done - elapsed time: 3.29s, prompts: 4, total tokens: 2694, avg length: 673.5, speed: 817.9 tok/s
vLLM generation done - elapsed time: 3.37s, prompts: 4, total tokens: 3518, avg length: 879.5, speed: 1042.6 tok/s
vLLM generation done - elapsed time: 3.38s, prompts: 4, total tokens: 3770, avg length: 942.5, speed: 1115.8 tok/s
vLLM generation done - elapsed time: 3.38s, prompts: 4, total tokens: 3906, avg length: 976.5, speed: 1154.3 tok/s
vLLM generation done - elapsed time: 3.24s, prompts: 4, total tokens: 2728, avg length: 682.0, speed: 841.7 tok/s
vLLM generation done - elapsed time: 3.34s, prompts: 4, total tokens: 3404, avg length: 851.0, speed: 1018.2 tok/s
vLLM generation done - elapsed time: 3.36s, prompts: 4, total tokens: 3236, avg length: 809.0, speed: 963.1 tok/s
vLLM generation done - elapsed time: 3.38s, prompts: 4, total tokens: 4028, avg length: 1007.0, speed: 1190.2 tok/s

  9%|▉         | 9/100 [01:12<12:15,  8.08s/it]vLLM generation done - elapsed time: 3.17s, prompts: 4, total tokens: 2282, avg length: 570.5, speed: 720.7 tok/s
vLLM generation done - elapsed time: 3.34s, prompts: 4, total tokens: 3276, avg length: 819.0, speed: 981.0 tok/s
vLLM generation done - elapsed time: 3.38s, prompts: 4, total tokens: 3916, avg length: 979.0, speed: 1158.4 tok/s
vLLM generation done - elapsed time: 3.39s, prompts: 4, total tokens: 3891, avg length: 972.8, speed: 1148.9 tok/s

#37

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:71812,chars:\"\",yield_time_ms:30000,max_output_tokens:800});\ntext(r.output);\n"
}

exec result

Script running with cell ID 26
Wall time 11.0 seconds
Output:

#38

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "26",
  "yield_time_ms": 30000,
  "max_tokens": 800
}

wait result

Script completed
Wall time 15.6 seconds
Output:
Warning: truncated output (original token count: 827)
Total output lines: 28

Warning: truncated output (original token count: 2215)
Total output lines: 173

vLLM generation done - elapsed time: 3.31s, prompts: 4, total tokens: 2887, avg length: 721.8, speed: 871.4 tok/s
vLLM generation done - elapsed time: 3.37s, prompts: 4, total tokens: 3380, avg length: 845.0, speed: 1002.5 tok/s
vLLM generation done - elapsed time: 3.39s, prompts: 4, total tokens: 3863, avg length: 965.8, speed: 1138.3 tok/s
vLLM generation done - elapsed time: 3.40s, prompts: 4, total tokens: 4047, avg length: 1011.8, speed: 1191.5 tok/s

 10%|█         | 10/100 [01:20<12:09,  8.10s/it]
                                                
{'loss': 0.0037, 'grad_norm': 0.09542447328567505, 'learning_rate': 5e-06, 'on_policy_loss': 0.0037, 'epoch': 0.08}

 10%|█         | 10/100 [01:21<12:09,  8.10s/it]vLLM generation done - elapsed time: 3.20s, prompts: 4, total tokens: 2563, avg length: 640.8, speed: 802.1 tok/s
vLLM generation done - elapsed time: 3.30s, prompts: 4, total tokens: 2688, avg length: 672.0, speed: 813.9 tok/s
vLLM generation done - elapsed time: 3.31s, prompts: 4, total tokens: 3024, avg length: 756.0, speed: 914.6 tok/s
vLLM generation done - elapsed time: 3.39s, prompts: 4, total tokens: 3892, avg length: 973.0, speed: 1147.3 tok/s
vLLM generation done - elapsed time: 3.32s, prompts: 4, total tokens: 3193, avg length: 798.2, speed: 962.3 tok/s
vLLM generation done - elapsed time: 3.35s, prompts: 4, total tokens: 3389, avg length: 847.2, speed: 1012.0 tok/s
vLLM generation done - elapsed time: 3.38s, prompts: 4, total tokens: 3515, avg length: 878.8, speed: 1041…27 tokens truncated…pts: 4, total tokens: 2535, avg length: 633.8, speed: 792.0 tok/s
vLLM generation done - elapsed time: 3.35s, prompts: 4, total tokens: 3446, avg length: 861.5, speed: 1029.2 tok/s
vLLM generation done - elapsed time: 3.36s, prompts: 4, total tokens: 3345, avg length: 836.2, speed: 995.9 tok/s
vLLM generation done - elapsed time: 3.41s, prompts: 4, total tokens: 4028, avg length: 1007.0, speed: 1182.7 tok/s
vLLM generation done - elapsed time: 3.32s, prompts: 4, total tokens: 3080, avg length: 770.0, speed: 927.3 tok/s
vLLM generation done - elapsed time: 3.32s, prompts: 4, total tokens: 2996, avg length: 749.0, speed: 901.8 tok/s
vLLM generation done - elapsed time: 3.39s, prompts: 4, total tokens: 3644, avg length: 911.0, speed: 1074.9 tok/s
vLLM generation done - elapsed time: 3.41s, prompts: 4, total tokens: 3870, avg length: 967.5, speed: 1134.0 tok/s

 14%|█▍        | 14/100 [01:53<11:42,  8.17s/it]
                                                
{'loss': 0.0005, 'grad_norm': 0.059135157614946365, 'learning_rate': 5e-06, 'on_policy_loss': 0.0005, 'epoch': 0.11}

 14%|█▍        | 14/100 [01:53<11:42,  8.17s/it]vLLM generation done - elapsed time: 1.49s, prompts: 4, total tokens: 1135, avg length: 283.8, speed: 764.3 tok/s
vLLM generation done - elapsed time: 3.35s, prompts: 4, total tokens: 3552, avg length: 888.0, speed: 1061.1 tok/s
vLLM generation done - elapsed time: 3.37s, prompts: 4, total tokens: 3355, avg length: 838.8, speed: 995.5 tok/s
vLLM generation done - elapsed time: 3.38s, prompts: 4, total tokens: 3662, avg length: 915.5, speed: 1082.9 tok/s

#39

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:71812,chars:\"\",yield_time_ms:30000,max_output_tokens:500});\ntext(r.output);\n"
}

exec result

Script running with cell ID 27
Wall time 11.0 seconds
Output:

#40

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "27",
  "yield_time_ms": 30000,
  "max_tokens": 500
}

wait result

Script completed
Wall time 13.5 seconds
Output:
Warning: truncated output (original token count: 527)
Total output lines: 20

Warning: truncated output (original token count: 1278)
Total output lines: 45

vLLM generation done - elapsed time: 3.29s, prompts: 4, total tokens: 2709, avg length: 677.2, speed: 822.8 tok/s
vLLM generation done - elapsed time: 3.32s, prompts: 4, total tokens: 2844, avg length: 711.0, speed: 857.5 tok/s
vLLM generation done - elapsed time: 3.36s, prompts: 4, total tokens: 3435, avg length: 858.8, speed: 1023.0 tok/s
vLLM generation done - elapsed time: 3.39s, prompts: 4, total tokens: 4096, avg length: 1024.0, speed: 1207.3 tok/s

 15%|█▌        | 15/100 [02:01<11:35,  8.19s/it]vLLM generation done - elapsed time: 3.16s, prompts: 4, total tokens: 2133, avg length: 533.2, speed: 675.8 tok/s
vLLM generation done - elapsed time: 3.20s, prompts: 4, total tokens: 2577, avg length: 644.2, speed: 806.0 tok/s
vLLM generation done - elapsed time: 3.36s, prompts: 4, total tokens: 3377, avg length: 844.2, speed: 1006.0 tok/s
vLLM generation done - elapsed time: 3.39s, prompts: 4, total toke…27 tokens truncated…/100 [02:26<11:11,  8.19s/it]vLLM generation done - elapsed time: 3.30s, prompts: 4, total tokens: 2418, avg length: 604.5, speed: 733.1 tok/s
vLLM generation done - elapsed time: 3.35s, prompts: 4, total tokens: 3370, avg length: 842.5, speed: 1005.0 tok/s
vLLM generation done - elapsed time: 3.36s, prompts: 4, total tokens: 3618, avg length: 904.5, speed: 1078.0 tok/s
vLLM generation done - elapsed time: 3.37s, prompts: 4, total tokens: 3497, avg length: 874.2, speed: 1036.8 tok/s
vLLM generation done - elapsed time: 3.33s, prompts: 4, total tokens: 3161, avg length: 790.2, speed: 948.5 tok/s
vLLM generation done - elapsed time: 3.38s, prompts: 4, total tokens: 3704, avg length: 926.0, speed: 1095.3 tok/s
vLLM generation done - elapsed time: 3.39s, prompts: 4, total tokens: 3939, avg length: 984.8, speed: 1162.8 tok/s
vLLM generation done - elapsed time: 3.40s, prompts: 4, total tokens: 3549, avg length: 887.2, speed: 1044.9 tok/s

 19%|█▉        | 19/100 [02:34<11:01,  8.16s/it]

#41

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"tail -c 6000 /workspace/runs/domain_only/train_seed42.log | rg -o \\\"\\\\{'loss'.*\\\" | tail -6; cat /workspace/.timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":2000});\ntext(r.output);\n"
}

exec result

Script completed
Wall time 0.1 seconds
Output:
{'loss': 0.0009, 'grad_norm': 0.06026880070567131, 'learning_rate': 5e-06, 'on_policy_loss': 0.0009, 'epoch': 0.12}
{'loss': -0.0002, 'grad_norm': 0.05568794161081314, 'learning_rate': 5e-06, 'on_policy_loss': -0.0002, 'epoch': 0.14}
{'loss': -0.0009, 'grad_norm': 0.06590896844863892, 'learning_rate': 5e-06, 'on_policy_loss': -0.0009, 'epoch': 0.15}
21079

#42

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:71812,chars:\"\",yield_time_ms:30000,max_output_tokens:400});\ntext(r.output);\n"
}

exec result

Script running with cell ID 29
Wall time 11.0 seconds
Output:

#43

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "29",
  "yield_time_ms": 30000,
  "max_tokens": 400
}

wait result

Script completed
Wall time 12.8 seconds
Output:
Warning: truncated output (original token count: 427)
Total output lines: 17

Warning: truncated output (original token count: 2685)
Total output lines: 199

vLLM generation done - elapsed time: 3.25s, prompts: 4, total tokens: 3008, avg length: 752.0, speed: 925.5 tok/s
vLLM generation done - elapsed time: 3.35s, prompts: 4, total tokens: 3537, avg length: 884.2, speed: 1055.8 tok/s
vLLM generation done - elapsed time: 3.37s, prompts: 4, total tokens: 3796, avg length: 949.0, speed: 1125.1 tok/s
vLLM generation done - elapsed time: 3.38s, prompts: 4, total tokens: 3574, avg length: 893.5, speed: 1058.1 tok/s
vLLM generation done - elapsed time: 3.36s, prompts: 4, total tokens: 3553, avg length: 888.2, speed: 1058.2 tok/s
vLLM generation done - elapsed time: 3.36s, prompts: 4, total tokens: 3344, avg length: 836.0, speed: 996.1 tok/s
vLLM generation done - elapsed t…27 tokens truncated…otal tokens: 3220, avg length: 805.0, speed: 966.1 tok/s
vLLM generation done - elapsed time: 3.34s, prompts: 4, total tokens: 3595, avg length: 898.8, speed: 1075.8 tok/s
vLLM generation done - elapsed time: 3.36s, prompts: 4, total tokens: 3690, avg length: 922.5, speed: 1098.1 tok/s
vLLM generation done - elapsed time: 3.30s, prompts: 4, total tokens: 2790, avg length: 697.5, speed: 846.0 tok/s
vLLM generation done - elapsed time: 3.31s, prompts: 4, total tokens: 3076, avg length: 769.0, speed: 928.5 tok/s
vLLM generation done - elapsed time: 3.39s, prompts: 4, total tokens: 3565, avg length: 891.2, speed: 1052.7 tok/s
vLLM generation done - elapsed time: 3.39s, prompts: 4, total tokens: 3707, avg length: 926.8, speed: 1094.8 tok/s

 25%|██▌       | 25/100 [03:23<10:17,  8.24s/it]

#44

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nfrom datasets import load_dataset\\nimport re, numpy as np\\nD=load_dataset('siyanzhao/Openthoughts_math_30k_opsd')['train']\\nA=[x for x in D if x['source']=='amc_aime']\\nmc=[x for x in A if re.search(r'\\\\\\\\textbf\\\\{\\\\(?A\\\\)?\\\\}|\\\\(A\\\\)',x['problem'])]\\nprint(len(A),len(mc),'nonmc',len(A)-len(mc))\\nfor tag,arr in [('MC',mc),('non', [x for x in A if x not in mc])]:\\n print(tag, np.percentile([x['generated_token_count'] for x in arr],[0,25,50,75,100]))\\nfor x in A[:10]: print(x['problem'][:100].replace('\\\\n',' '), 'ans',x['Answer'],'tok',x['generated_token_count'])\\nPY\",\"workdir\":\"/workspace/repo\",\"yield_time_ms\":30000,\"max_output_tokens\":5000});\ntext(r.output);\n"
}

exec result

Script completed
Wall time 3.5 seconds
Output:
Using the latest cached version of the dataset since siyanzhao/Openthoughts_math_30k_opsd couldn't be found on the Hugging Face Hub (offline mode is enabled).
Found the latest cached dataset configuration 'default' at /opt/hf_cache/datasets/siyanzhao___openthoughts_math_30k_opsd/default/0.0.0/1f33e9dc2e8a1c639ca74f8024ad4a9f1f5eae62 (last modified on Sun Aug  2 18:32:07 2026).
477 382 nonmc 95
MC [ 880.   1669.   2218.5  3106.75 4958.  ]
non [1354.  2553.5 3242.  4009.5 4901. ]
The operation $\otimes$ is defined for all nonzero numbers by $a\otimes b =\frac{a^{2}}{b}$. Determi ans A tok 1696
If $991+993+995+997+999=5000-N$, then $N=$ $\text{(A)}\ 5 \qquad \text{(B)}\ 10 \qquad \text{(C)}\ 1 ans \text{E} tok 2155
During the softball season, Judy had $35$ hits.  Among her hits were $1$ home run, $1$ triple and $5 ans \text{E} tok 1682
The graph, $G$ of $y=\log_{10}x$ is rotated $90^{\circ}$ counter-clockwise about the origin to obtai ans D tok 2441
Jose, Thuy, and Kareem each start with the number 10.  Jose subtracts 1 from the number 10, doubles  ans \text{C} tok 2665
Diameter $AB$ of a circle has length a $2$-digit integer (base ten). Reversing the digits gives the  ans 65 tok 4104
Which of the following is the negation of the statement: For all $x$ of a certain set, $x^2>0$? $\te ans \textbf{(E)} tok 1226
Consider all 1000-element subsets of the set $\{1, 2, 3, ... , 2015\}$.  From each such subset choos ans 431 tok 4224
In the multiplication problem below $A$, $B$, $C$, $D$ are different digits. What is $A+B$?  \[\begi ans \textbf{(A)}\ 1 tok 2650
What is the value of \[2^{\left(0^{\left(1^9\right)}\right)}+\left(\left(2^0\right)^1\right)^9?\] $\ ans 2 tok 1358

#45

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nfrom datasets import load_dataset\\nfrom collections import Counter\\nimport re,numpy as np\\nD=load_dataset('siyanzhao/Openthoughts_math_30k_opsd')['train']\\nfor src in ['aops_forum','olympiads','math']:\\n A=[x for x in D if x['source']==src]\\n numeric=[x for x in A if re.fullmatch(r'\\\\\\\\?boxed\\\\{?\\\\d{1,3}\\\\}?|\\\\d{1,3}', (x['Answer'] or '').strip())]\\n print(src,len(A),'numeric',len(numeric))\\n print(Counter((x['Answer'] or '').strip()[:20] for x in A).most_common(5))\\nPY\",\"workdir\":\"/workspace/repo\",\"yield_time_ms\":30000,\"max_output_tokens\":3000});\ntext(r.output);\n"
}

exec result

Script running with cell ID 31
Wall time 11.0 seconds
Output:

#46

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "31",
  "yield_time_ms": 30000,
  "max_tokens": 3000
}

wait result

Script completed
Wall time 0.0 seconds
Output:
Using the latest cached version of the dataset since siyanzhao/Openthoughts_math_30k_opsd couldn't be found on the Hugging Face Hub (offline mode is enabled).
Found the latest cached dataset configuration 'default' at /opt/hf_cache/datasets/siyanzhao___openthoughts_math_30k_opsd/default/0.0.0/1f33e9dc2e8a1c639ca74f8024ad4a9f1f5eae62 (last modified on Sun Aug  2 18:32:07 2026).
aops_forum 2291 numeric 1210
[('1', 46), ('2', 38), ('4', 37), ('5', 32), ('7', 32)]
olympiads 21315 numeric 7607
[('1', 483), ('2', 393), ('3', 369), ('4', 346), ('D', 287)]
math 5351 numeric 2953
[('2', 154), ('3', 144), ('6', 140), ('5', 138), ('1', 129)]

#47

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"tail -c 3000 /workspace/runs/domain_only/train_seed42.log | rg -o \\\"[0-9]+%\\\\|[^\\\\r]*|\\\\{'loss'.*\\\" | tail -8; cat /workspace/.timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1500});\ntext(r.output);\n"
}

exec result

Script completed
Wall time 0.1 seconds
Output:
28%|██▊       | 28/100 [03:48<09:49,  8.19s/it]
{'loss': -0.0033, 'grad_norm': 0.05241135135293007, 'learning_rate': 5e-06, 'on_policy_loss': -0.0033, 'epoch': 0.21}
28%|██▊       | 28/100 [03:48<09:49,  8.19s/it]vLLM generation done - elapsed time: 3.33s, prompts: 4, total tokens: 3449, avg length: 862.2, speed: 1036.0 tok/s
29%|██▉       | 29/100 [03:56<09:41,  8.19s/it]vLLM generation done - elapsed time: 3.24s, prompts: 4, total tokens: 2675, avg length: 668.8, speed: 824.4 tok/s
30%|███       | 30/100 [04:04<09:36,  8.23s/it]
{'loss': -0.0032, 'grad_norm': 0.04794417694211006, 'learning_rate': 5e-06, 'on_policy_loss': -0.0032, 'epoch': 0.23}
30%|███       | 30/100 [04:05<09:36,  8.23s/it]
20999

#48

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.write_stdin({session_id:71812,chars:\"\",yield_time_ms:30000,max_output_tokens:300});\ntext(r.output);\n"
}

exec result

Script running with cell ID 33
Wall time 11.0 seconds
Output:

#49

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait

args

{
  "cell_id": "33",
  "yield_time_ms": 30000,
  "max_tokens": 300
}

wait result

Script completed
Wall time 16.2 seconds
Output:
Warning: truncated output (original token count: 327)
Total output lines: 14

Warning: truncated output (original token count: 2859)
Total output lines: 98

vLLM generation done - elapsed time: 3.36s, prompts: 4, total tokens: 3691, avg length: 922.8, speed: 1099.2 tok/s
vLLM generation done - elapsed time: 3.39s, prompts: 4, total tokens: 3887, avg length: 971.8, speed: 1147.5 tok/s
vLLM generation done - elapsed time: 3.38s, prompts: 4, total tokens: 3587, avg length: 896.8, speed: 1060.4 tok/s
vLLM generation done - elapsed time: 3.42s, prompts: 4, total tokens: 4096, avg length: 1024.0, speed: 1199.3 tok/s
vLLM generation done - elapsed time: 3.34s, prompts: 4, tota…27 tokens truncated…me: 3.40s, prompts: 4, total tokens: 4096, avg length: 1024.0, speed: 1203.0 tok/s
vLLM generation done - elapsed time: 3.21s, prompts: 4, total tokens: 2810, avg length: 702.5, speed: 876.0 tok/s
vLLM generation done - elapsed time: 3.35s, prompts: 4, total tokens: 3725, avg length: 931.2, speed: 1112.1 tok/s
vLLM generation done - elapsed time: 3.37s, prompts: 4, total tokens: 3770, avg length: 942.5, speed: 1117.9 tok/s
vLLM generation done - elapsed time: 3.39s, prompts: 4, total tokens: 4096, avg length: 1024.0, speed: 1208.0 tok/s

 35%|███▌      | 35/100 [04:46<08:55,  8.23s/it]

#50

reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec

args

{
  "input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport json,glob,re\\nfs=glob.glob('/workspace/runs/domain_only/capped_seed42/generations/*.json')\\nxs=[]\\nfor f in fs: xs += json.load(open(f))['generations']\\nfor lim in [None]:\\n print('n',len(xs),'boxed',sum('\\\\\\\\boxed{' in x['completion'] for x in xs)/len(xs),'eos',sum('<|im_end|>' in x['completion'] for x in xs)/len(xs),'avgchars',sum(len(x['completion']) for x in xs)/len(xs))\\nPY\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":1000});\ntext(r.output);\n"
}

exec result

Script completed
Wall time 0.1 seconds
Output:
n 248 boxed 0.4798387096774194 eos 0.43548387096774194 avgchars 2242.342741935484