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
- 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 ↗codexgpt-5.6-sol683 turns47 narration636 reasoning636 action636 observation1 final
#76
narration
The first candidate completed all 100 steps in 14:55. I’m starting the full official-shape evaluation now (30 problems × 12 samples); this is the first decision-quality measurement and will determine whether to keep the targeted curriculum or broaden it in the next run.
#77
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r = await tools.exec_command({cmd:\"bash /workspace/dev_eval.sh /workspace/runs/frontier_v1/capped_seed42/checkpoint-100 /workspace/eval_results/frontier_v1_full.json\",\"workdir\":\"/workspace\",\"yield_time_ms\":1000,\"max_output_tokens\":5000,\"tty\":true});\ntext(JSON.stringify(r));"
}exec result
Script completed
Wall time 1.2 seconds
Output:
{"chunk_id":"bccfeb","wall_time_seconds":1.0023066,"session_id":2739,"original_token_count":0,"output":""}#78
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r = await tools.write_stdin({session_id:2739,chars:\"\",yield_time_ms:30000,max_output_tokens:3000});\ntext(r.output);"
}exec result
Script running with cell ID 50
Wall time 11.0 seconds
Output:
#79
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "50",
"yield_time_ms": 30000,
"max_tokens": 3000
}wait result
Script completed
Wall time 15.5 seconds
Output:
Warning: truncated output (original token count: 3027)
Total output lines: 98
Warning: truncated output (original token count: 4285)
Total output lines: 101
Checkpoint kind: lora
Merging LoRA adapter into base weights for evaluation (CPU, once)...
`torch_dtype` is deprecated! Use `dtype` instead!
Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards: 100%|█████████████████| 2/2 [00:00<00:00, 41.65it/s]
Generating with data_parallel_size=4 (TP=1 per engine) ...
INFO 08-03 05:02:12 [__init__.py:216] Automatically detected platform cuda.
INFO 08-03 05:02:12 [__init__.py:216] Automatically detected platform cuda.
INFO 08-03 05:02:12 [__init__.py:216] Automatically detected platform cuda.
INFO 08-03 05:02:12 [__init__.py:216] Automatically detected platform cuda.
INFO 08-03 05:02:15 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_85zmd0uu] to model_path [/tmp/opsd_merged_85zmd0uu]
INFO 08-03 05:02:15 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_85zmd0uu] to model_path [/tmp/opsd_merged_85zmd0uu]
INFO 08-03 05:02:15 [utils.py:233] non-default args: {'trust_remote_code': True, 'seed': 20260610, 'max_model_len': 40960, 'disable_log_stats': True, 'enforce_eager': True, 'model': '/tmp/opsd_merged_85zmd0uu'}
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
INFO 08-03 05:02:15 [model.py:547] Resolved architecture: Qwen3ForCausalLM
`torch_dtype` is deprecated! Use `dtype` instead!
INFO 08-03 05:02:15 [model.py:1510] Using max model len 40960
INFO 08-03 05:02:16 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=16384.
INFO 08-03 05:02:16 [__init__.py:381] Cudagraph is disabled under eager mode
INFO 08-03 05:02:16 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_85zmd0uu] to model_path [/tmp/opsd_merged_85zmd0uu]
INFO 08-03 05:02:16 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_85zmd0uu] to model_path [/tmp/opsd_merged_85zmd0uu]
INFO 08-03 05:02:16 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_85zmd0uu] to model_path [/tmp/opsd_merged_85zmd0uu]
INFO 08-03 05:02:16 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_85zmd0uu] to model_path [/tmp/opsd_merged_85zmd0uu]
INFO 08-03 05:02:16 [utils.py:233] non-default args: {'trust_remote_code': True, 'seed': 20260610, 'max_model_len': 40960, 'disable_log_stats': True, 'enforce_eager': True, 'model': '/tmp/opsd_merged_85zmd0uu'}
INFO 08-03 05:02:16 [utils.py:233] non-default args: {'trust_remote_code': True, 'seed': 20260610, 'max_model_len': 40960, 'disable_log_stats': True, 'enforce_eager': True, 'model': '/tmp/opsd_merged_85zmd0uu'}
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
INFO 08-03 05:02:16 [model.py:547] Resolved architecture: Qwen3ForCausalLM
INFO 08-03 05:02:16 [model.py:547] Resolved architecture: Qwen3ForCausalLM
`torch_dtype` is deprecated! Use `dtype` instead!
`torch_dtype` is deprecated! Use `dtype` instead!
INFO 08-03 05:02:16 [model.py:1510] Using max model len 40960
INFO 08-03 05:02:16 [model.py:1510] Using max model len 40960
INFO 08-03 05:02:16 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_85zmd0uu] to model_path [/tmp/opsd_merged_85zmd0uu]
INFO 08-03 05:02:16 [arg_utils.py:504] HF_HUB_OFFLINE is True, replace model_id [/tmp/opsd_merged_85zmd0uu] to model_path [/tmp/opsd_merged_85zmd0uu]
INFO 08-03 05:02:16 [utils.py:233] non-default args: {'trust_remote_code': True, 'seed': 20260610, 'max_model_len': 40960, 'disable_log_stats': True, 'enforce_eager': True, 'model': '/tmp/opsd_merged_85zmd0uu'}
The argument `trust_remote_code` is to be used with Auto classes. It has no effect here and is ignored.
INFO 08-03 05:02:16 [model.py:547] Resolved architecture: Qwen3ForCausalLM
`torch_dtype` is deprecated! Use `dtype` instead!
INFO 08-03 05:02:16 [model.py:1510] Using max model len 40960
INFO 08-03 05:02:16 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=16384.
INFO 08-03 05:02:16 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=16384.
INFO 08-03 05:02:16 [__init__.py:381] Cudagraph is disabled under eager mode
INFO 08-03 05:02:16 [__init__.py:381] Cudagraph is disabled under eager mode
INFO 08-03 05:02:16 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=16384.
INFO 08-03 05:02:16 [__init__.py:381] Cudagraph is disabled under eager mode
[1;36m(EngineCore_DP0 pid=5670)[0;0m INFO 08-03 05:02:16 [core.py:644] Waiting for init message from front-end.
[1;36m(EngineCore_DP0 pid=5670)[0;0m INFO 08-03 05:02:16 [core.py:77] Initializing a V1 LLM engine (v0.11.0) with config: model='/tmp/opsd_merged_85zmd0uu', speculative_config=None, tokenizer='/tmp/opsd_merged_85zmd0uu', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=40960, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=True, kv_cache_dtype=auto, device_config=cuda, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_fallback=False, disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser=''), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None), seed=20260610, served_model_name=/tmp/opsd_merged_85zmd0uu, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={"level":0,"debug_dump_path":"","cache_dir":"","backend":"","custom_op…27 tokens truncated…ure_sizes":[],"cudagraph_copy_inputs":false,"full_cuda_graph":false,"use_inductor_graph_partition":false,"pass_config":{},"max_capture_size":0,"local_cache_dir":null}
[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
[1;36m(EngineCore_DP0 pid=5670)[0;0m INFO 08-03 05:02:20 [parallel_state.py:1208] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 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
[1;36m(EngineCore_DP0 pid=5681)[0;0m INFO 08-03 05:02:20 [parallel_state.py:1208] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0
[1;36m(EngineCore_DP0 pid=5670)[0;0m WARNING 08-03 05:02:20 [topk_topp_sampler.py:66] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[1;36m(EngineCore_DP0 pid=5670)[0;0m INFO 08-03 05:02:21 [gpu_model_runner.py:2602] Starting to load model /tmp/opsd_merged_85zmd0uu...
[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
[1;36m(EngineCore_DP0 pid=5678)[0;0m INFO 08-03 05:02:21 [parallel_state.py:1208] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 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
[1;36m(EngineCore_DP0 pid=5682)[0;0m INFO 08-03 05:02:21 [parallel_state.py:1208] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0
[1;36m(EngineCore_DP0 pid=5681)[0;0m WARNING 08-03 05:02:21 [topk_topp_sampler.py:66] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.
[1;36m(EngineCore_DP0 pid=5681)[0;0m INFO 08-03 05:02:21 [gpu_model_runner.py:2602] Starting to load model /tmp/opsd_merged_85zmd0uu...
[1;36m(EngineCore_DP0 pid=5670)[0;0m INFO 08-03 05:02:21 [gpu_model_runner.py:2634] Loading model from scratch...
[1;36m(EngineCore_DP0 pid=5678)[0;0m WARNING 08-03 05:02:21 [topk_topp_sampler.py:66] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.
[1;36m(EngineCore_DP0 pid=5682)[0;0m WARNING 08-03 05:02:21 [topk_topp_sampler.py:66] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer.
[1;36m(EngineCore_DP0 pid=5678)[0;0m INFO 08-03 05:02:21 [gpu_model_runner.py:2602] Starting to load model /tmp/opsd_merged_85zmd0uu...
[1;36m(EngineCore_DP0 pid=5670)[0;0m INFO 08-03 05:02:21 [cuda.py:366] Using Flash Attention backend on V1 engine.
[1;36m(EngineCore_DP0 pid=5682)[0;0m INFO 08-03 05:02:21 [gpu_model_runner.py:2602] Starting to load model /tmp/opsd_merged_85zmd0uu...
[1;36m(EngineCore_DP0 pid=5670)[0;0m
Loading safetensors checkpoint shards: 0% Completed | 0/1 [00:00<?, ?it/s]
[1;36m(EngineCore_DP0 pid=5681)[0;0m INFO 08-03 05:02:21 [gpu_model_runner.py:2634] Loading model from scratch...
[1;36m(EngineCore_DP0 pid=5681)[0;0m INFO 08-03 05:02:21 [cuda.py:366] Using Flash Attention backend on V1 engine.
[1;36m(EngineCore_DP0 pid=5678)[0;0m INFO 08-03 05:02:21 [gpu_model_runner.py:2634] Loading model from scratch...
[1;36m(EngineCore_DP0 pid=5682)[0;0m INFO 08-03 05:02:21 [gpu_model_runner.py:2634] Loading model from scratch...
[1;36m(EngineCore_DP0 pid=5681)[0;0m
Loading safetensors checkpoint shards: 0% Completed | 0/1 [00:00<?, ?it/s]
[1;36m(EngineCore_DP0 pid=5678)[0;0m INFO 08-03 05:02:22 [cuda.py:366] Using Flash Attention backend on V1 engine.
[1;36m(EngineCore_DP0 pid=5682)[0;0m INFO 08-03 05:02:22 [cuda.py:366] Using Flash Attention backend on V1 engine.
[1;36m(EngineCore_DP0 pid=5678)[0;0m
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[1;36m(EngineCore_DP0 pid=5682)[0;0m
Loading safetensors checkpoint shards: 0% Completed | 0/1 [00:00<?, ?it/s]
#80
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r = await tools.exec_command({cmd:\"python - <<'PY'\\nimport ast,re,statistics\\np='/workspace/runs/frontier_v1/train_seed42.log'\\nrows=[]\\nfor line in open(p,errors='ignore'):\\n if \\\"'rollout_accuracy'\\\" in line:\\n line=re.sub(r'^.*?(\\\\{\\\\'loss\\\\'.*\\\\})[^}]*$',r'\\\\1',line.strip())\\n try: rows.append(ast.literal_eval(line))\\n except: pass\\nprint('logs',len(rows))\\nprint('rollout mean',statistics.mean(x['rollout_accuracy'] for x in rows))\\nprint('first/last',statistics.mean(x['rollout_accuracy'] for x in rows[:10]),statistics.mean(x['rollout_accuracy'] for x in rows[-10:]))\\nprint('last',rows[-5:])\\nPY\\ncat /workspace/.timer/remaining_secs\\nfind /opt/hf_cache/datasets/siyanzhao___openthoughts_math_30k_opsd -type f -newermt '2026-08-03 04:35:00' -printf '%p %s\\\\n' | head -30\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":5000});\ntext(r.output);"
}exec result
Script completed
Wall time 0.2 seconds
Output:
logs 50
rollout mean 0.27125
first/last 0.4 0.1875
last [{'loss': -0.0045, 'grad_norm': 0.06035635620355606, 'learning_rate': 4.5000000000000003e-07, 'on_policy_loss': -0.0045, 'rollout_accuracy': 0.1875, 'epoch': 0.33}, {'loss': -0.0004, 'grad_norm': 0.05552194267511368, 'learning_rate': 3.5000000000000004e-07, 'on_policy_loss': -0.0004, 'rollout_accuracy': 0.1875, 'epoch': 0.34}, {'loss': -0.004, 'grad_norm': 0.07352576404809952, 'learning_rate': 2.5000000000000004e-07, 'on_policy_loss': -0.004, 'rollout_accuracy': 0.125, 'epoch': 0.35}, {'loss': -0.0033, 'grad_norm': 0.08722443878650665, 'learning_rate': 1.5000000000000002e-07, 'on_policy_loss': -0.0033, 'rollout_accuracy': 0.1875, 'epoch': 0.36}, {'loss': -0.0048, 'grad_norm': 0.06867505609989166, 'learning_rate': 5.0000000000000004e-08, 'on_policy_loss': -0.0048, 'rollout_accuracy': 0.1875, 'epoch': 0.36}]
20118
/opt/hf_cache/datasets/siyanzhao___openthoughts_math_30k_opsd/default/0.0.0/1f33e9dc2e8a1c639ca74f8024ad4a9f1f5eae62/cache-a47d60ea3fed15a4.arrow 182299336
/opt/hf_cache/datasets/siyanzhao___openthoughts_math_30k_opsd/default/0.0.0/1f33e9dc2e8a1c639ca74f8024ad4a9f1f5eae62/cache-d162f0b4cc47513f.arrow 297287784
/opt/hf_cache/datasets/siyanzhao___openthoughts_math_30k_opsd/default/0.0.0/1f33e9dc2e8a1c639ca74f8024ad4a9f1f5eae62/cache-55f01c4829935f27.arrow 297287784
#81
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r = await tools.write_stdin({session_id:2739,chars:\"\",yield_time_ms:50000,max_output_tokens:1000});\ntext(r.output);"
}exec result
Script running with cell ID 52
Wall time 11.0 seconds
Output:
#82
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "52",
"yield_time_ms": 50000,
"max_tokens": 1000
}wait result
Script completed
Wall time 36.3 seconds
Output:
Warning: truncated output (original token count: 1027)
Total output lines: 30
Warning: truncated output (original token count: 1624)
Total output lines: 45
[1;36m(EngineCore_DP0 pid=5670)[0;0m
Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:07<00:00, 7.23
Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:07<00:00, 7.23
[1;36m(EngineCore_DP0 pid=5670)[0;0m INFO 08-03 05:02:28 [default_loader.py:267] Loading weights took 7.23 seconds
[1;36m(EngineCore_DP0 pid=5681)[0;0m
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[1;36m(EngineCore_DP0 pid=5681)[0;0m INFO 08-03 05:02:29 [default_loader.py:267] Loading weights took 7.13 seconds
[1;36m(EngineCore_DP0 pid=5682)[0;0m
Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:07<00:00, 7.12
Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:07<00:00, 7.12
[1;36m(EngineCore_DP0 pid=5682)[0;0m INFO 08-03 05:02:29 [default_loader.py:267] Loading weights took 7.12 seconds
[1;36m(EngineCore_DP0 pid=5678)[0;0m
Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:07<00:00, 7.24
Loading safetensors checkpoint shards: 100% Completed | 1/1 [00:07<00:00, 7.24
[1;36m(EngineCore_DP0 pid=5678)[0;0m INFO 08-03 05:02:29 [default_loader.py:267] Loading weights took 7.24 seconds
[1;36m(EngineCore_DP0 pid=5670)[0;0m INFO 08-03 05:02:29 [gpu_model_runner.py:2653] Model loading took 3.2152 GiB and 7.511974 seconds
[1;36m(EngineCore_DP0 pid=5681)[0;0m INFO 08-03 05:02:29 [gpu_model_runner.py:2653] Model loading took 3.2152 GiB and 7.394958 seconds
[1;36m(EngineCore_DP0 pid=5682)[0;0m INFO 08-03 05:02:29 [gpu_model_runner.py:2653] Model loading took 3.2152 GiB and 7.423083 seconds
[1;36m(EngineCore_DP0 pid=5678)[0;0m INFO 08-03 05:02:29 [gpu_model_runner.py:2653] Model loading took 3.2152 GiB and 7.541754 seconds
[1;36m(EngineCore_DP0 pid=5670)[0;0m INFO 08-03 05:02:30 [gpu_worker.py:298] Available KV c…27 tokens truncated…8-03 05:02:31 [core.py:210] init engine (profile, create kv cache, warmup model) took 1.84 seconds
[1;36m(EngineCore_DP0 pid=5670)[0;0m INFO 08-03 05:02:32 [__init__.py:381] Cudagraph is disabled under eager mode
[1;36m(EngineCore_DP0 pid=5678)[0;0m INFO 08-03 05:02:32 [__init__.py:381] Cudagraph is disabled under eager mode
[1;36m(EngineCore_DP0 pid=5681)[0;0m INFO 08-03 05:02:32 [__init__.py:381] Cudagraph is disabled under eager mode
[1;36m(EngineCore_DP0 pid=5682)[0;0m INFO 08-03 05:02:32 [__init__.py:381] Cudagraph is disabled under eager mode
INFO 08-03 05:02:32 [llm.py:306] Supported_tasks: ['generate']
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INFO 08-03 05:02:32 [llm.py:306] Supported_tasks: ['generate']
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Processed prompts: 0%| | 0/96 [00:00<?, ?it/s, est. speed input: 0.00 toks/s,#83
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r = await tools.write_stdin({session_id:2739,chars:\"\",yield_time_ms:50000,max_output_tokens:500});\ntext(r.output);"
}exec result
Script running with cell ID 53
Wall time 11.0 seconds
Output:
#84
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "53",
"yield_time_ms": 50000,
"max_tokens": 500
}wait result
Script completed
Wall time 36.1 seconds
Output:
#85
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r = await tools.write_stdin({session_id:2739,chars:\"\",yield_time_ms:50000,max_output_tokens:500});\ntext(r.output);"
}exec result
Script running with cell ID 54
Wall time 11.0 seconds
Output:
#86
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "54",
"yield_time_ms": 50000,
"max_tokens": 500
}wait result
Script completed
Wall time 35.2 seconds
Output:
#87
narration
Full evaluation generation is underway across all four GPUs. There is no reliable intermediate accuracy—the evaluator grades only after every long thinking trace completes—so I’m preserving the fixed run rather than drawing conclusions from completion speed or partial output.
#88
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r = await tools.write_stdin({session_id:2739,chars:\"\",yield_time_ms:50000,max_output_tokens:500});\ntext(r.output);"
}exec result
Script running with cell ID 55
Wall time 11.0 seconds
Output:
#89
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "55",
"yield_time_ms": 50000,
"max_tokens": 500
}wait result
Script completed
Wall time 35.7 seconds
Output:
Processed prompts: 12%|▏| 12/96 [03:38<25:30, 18.22s/it, est. speed input: 8.5#90
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r = await tools.write_stdin({session_id:2739,chars:\"\",yield_time_ms:50000,max_output_tokens:500});\ntext(r.output);"
}exec result
Script running with cell ID 56
Wall time 11.0 seconds
Output:
#91
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "56",
"yield_time_ms": 50000,
"max_tokens": 500
}wait result
Script completed
Wall time 36.0 seconds
Output:
Processed prompts: 25%|▎| 24/96 [04:01<10:20, 8.62s/it, est. speed input: 16.#92
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r = await tools.write_stdin({session_id:2739,chars:\"\",yield_time_ms:50000,max_output_tokens:500});\ntext(r.output);"
}exec result
Script running with cell ID 57
Wall time 11.0 seconds
Output:
#93
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "57",
"yield_time_ms": 50000,
"max_tokens": 500
}wait result
Script completed
Wall time 35.7 seconds
Output:
Processed prompts: 14%|▏| 12/84 [05:25<32:31, 27.10s/it, est. speed input: 2.6#94
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r = await tools.write_stdin({session_id:2739,chars:\"\",yield_time_ms:50000,max_output_tokens:500});\ntext(r.output);"
}exec result
Script running with cell ID 58
Wall time 11.0 seconds
Output:
#95
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "58",
"yield_time_ms": 50000,
"max_tokens": 500
}wait result
Script completed
Wall time 36.2 seconds
Output:
Processed prompts: 12%|▏| 12/96 [05:43<40:06, 28.64s/it, est. speed input: 5.1
Processed prompts: 29%|▎| 24/84 [06:28<14:15, 14.26s/it, est. speed input: 4.8#96
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r = await tools.write_stdin({session_id:2739,chars:\"\",yield_time_ms:50000,max_output_tokens:500});\ntext(r.output);"
}exec result
Script running with cell ID 59
Wall time 11.0 seconds
Output:
#97
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "59",
"yield_time_ms": 50000,
"max_tokens": 500
}wait result
Script completed
Wall time 36.1 seconds
Output:
Processed prompts: 43%|▍| 36/84 [07:13<07:33, 9.46s/it, est. speed input: 6.4#98
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r = await tools.write_stdin({session_id:2739,chars:\"\",yield_time_ms:50000,max_output_tokens:500});\ntext(r.output);"
}exec result
Script running with cell ID 60
Wall time 11.0 seconds
Output:
#99
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolwait
args
{
"cell_id": "60",
"yield_time_ms": 50000,
"max_tokens": 500
}wait result
Script completed
Wall time 35.4 seconds
Output:
#100
reasoning (redacted)
encrypted chain-of-thought — recorded, not exposed
toolexec
args
{
"input": "const r = await tools.write_stdin({session_id:2739,chars:\"\",yield_time_ms:50000,max_output_tokens:500});\ntext(r.output);"
}exec result
Script running with cell ID 61
Wall time 11.0 seconds
Output: