pivot judge audit: selector/20261009-selector/olmo3
Browse files- selector/20261009-selector/olmo3/bank.jsonl +0 -0
- selector/20261009-selector/olmo3/code.sha256 +1 -0
- selector/20261009-selector/olmo3/code.tar.gz +3 -0
- selector/20261009-selector/olmo3/env.json +13 -0
- selector/20261009-selector/olmo3/selector.log +44 -0
- selector/20261009-selector/olmo3/selector_meta.json +33 -0
- selector/20261009-selector/olmo3/selector_picks.jsonl +0 -0
selector/20261009-selector/olmo3/bank.jsonl
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selector/20261009-selector/olmo3/code.sha256
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5de108b619ec0e2535dea6a02df9ae51b4aa98030fe26b3b8b184e58827470be /dev/volume/outputs/pivot_judge/selector/20261009-selector/olmo3/code.tar.gz
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selector/20261009-selector/olmo3/code.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:5de108b619ec0e2535dea6a02df9ae51b4aa98030fe26b3b8b184e58827470be
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size 87289
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selector/20261009-selector/olmo3/env.json
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{
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"host": "pivotopd-selector-4dwgs-vfjjc",
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"python": "3.12.15",
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"samples": 5,
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"variants": "terse,fenced",
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"max_model_len": 16384,
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"source_run": "results/20261006-base-r1/olmo3",
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"vllm": "0.11.0",
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"torch": "2.8.0+cu128",
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"transformers": "4.57.1",
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"huggingface_hub": "0.36.2",
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"gpu": "NVIDIA A100-SXM4-80GB, 81920 MiB"
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}
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selector/20261009-selector/olmo3/selector.log
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INFO 10-08 23:56:13 [__init__.py:216] Automatically detected platform cuda.
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[pivot_judge 23:56:19] [selector] 320 requests (320 to run) over 32 successful parents; max prompt 2649 tokens, budget 8192
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INFO 10-08 23:56:19 [utils.py:233] non-default args: {'dtype': 'bfloat16', 'seed': 0, 'max_model_len': 16384, 'enable_prefix_caching': True, 'gpu_memory_utilization': 0.85, 'disable_log_stats': True, 'model': 'allenai/Olmo-3-7B-Instruct'}
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INFO 10-08 23:56:33 [model.py:547] Resolved architecture: Olmo2ForCausalLM
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`torch_dtype` is deprecated! Use `dtype` instead!
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INFO 10-08 23:56:33 [model.py:1510] Using max model len 16384
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INFO 10-08 23:56:34 [scheduler.py:205] Chunked prefill is enabled with max_num_batched_tokens=8192.
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:56:35 [core.py:644] Waiting for init message from front-end.
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:56:35 [core.py:77] Initializing a V1 LLM engine (v0.11.0) with config: model='allenai/Olmo-3-7B-Instruct', speculative_config=None, tokenizer='allenai/Olmo-3-7B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.bfloat16, max_seq_len=16384, 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=False, 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=0, served_model_name=allenai/Olmo-3-7B-Instruct, enable_prefix_caching=True, chunked_prefill_enabled=True, pooler_config=None, compilation_config={"level":3,"debug_dump_path":"","cache_dir":"","backend":"","custom_ops":[],"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output","vllm.mamba_mixer2","vllm.mamba_mixer","vllm.short_conv","vllm.linear_attention","vllm.plamo2_mamba_mixer","vllm.gdn_attention","vllm.sparse_attn_indexer"],"use_inductor":true,"compile_sizes":[],"inductor_compile_config":{"enable_auto_functionalized_v2":false},"inductor_passes":{},"cudagraph_mode":[2,1],"use_cudagraph":true,"cudagraph_num_of_warmups":1,"cudagraph_capture_sizes":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"cudagraph_copy_inputs":false,"full_cuda_graph":false,"use_inductor_graph_partition":false,"pass_config":{},"max_capture_size":512,"local_cache_dir":null}
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[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
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[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
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[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
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[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
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[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
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[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:56:36 [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
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[1;36m(EngineCore_DP0 pid=10151)[0;0m WARNING 10-08 23:56:36 [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.
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:56:37 [gpu_model_runner.py:2602] Starting to load model allenai/Olmo-3-7B-Instruct...
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:56:38 [gpu_model_runner.py:2634] Loading model from scratch...
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:56:38 [cuda.py:366] Using Flash Attention backend on V1 engine.
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:56:38 [weight_utils.py:392] Using model weights format ['*.safetensors']
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:56:39 [weight_utils.py:413] Time spent downloading weights for allenai/Olmo-3-7B-Instruct: 0.686959 seconds
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[1;36m(EngineCore_DP0 pid=10151)[0;0m
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[1;36m(EngineCore_DP0 pid=10151)[0;0m
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[1;36m(EngineCore_DP0 pid=10151)[0;0m
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:57:28 [default_loader.py:267] Loading weights took 49.29 seconds
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:57:29 [gpu_model_runner.py:2653] Model loading took 13.6261 GiB and 50.814043 seconds
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:57:38 [backends.py:548] Using cache directory: /root/.cache/vllm/torch_compile_cache/c0123fee68/rank_0_0/backbone for vLLM's torch.compile
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:57:38 [backends.py:559] Dynamo bytecode transform time: 9.02 s
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:57:44 [backends.py:197] Cache the graph for dynamic shape for later use
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:58:15 [backends.py:218] Compiling a graph for dynamic shape takes 35.55 s
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:58:27 [monitor.py:34] torch.compile takes 44.58 s in total
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:58:28 [gpu_worker.py:298] Available KV cache memory: 52.72 GiB
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:58:29 [kv_cache_utils.py:1087] GPU KV cache size: 107,952 tokens
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:58:29 [kv_cache_utils.py:1091] Maximum concurrency for 16,384 tokens per request: 8.10x
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[1;36m(EngineCore_DP0 pid=10151)[0;0m
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[1;36m(EngineCore_DP0 pid=10151)[0;0m
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:58:37 [gpu_model_runner.py:3480] Graph capturing finished in 8 secs, took 0.71 GiB
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[1;36m(EngineCore_DP0 pid=10151)[0;0m INFO 10-08 23:58:37 [core.py:210] init engine (profile, create kv cache, warmup model) took 68.47 seconds
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INFO 10-08 23:58:39 [llm.py:306] Supported_tasks: ['generate']
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[pivot_judge 00:02:10] [selector] outcomes {'terse': {'no_valid_id': 9, 'picked': 151}, 'fenced': {'picked': 147, 'no_valid_id': 13}} in 353.1 s
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selector/20261009-selector/olmo3/selector_meta.json
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{
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"model": "allenai/Olmo-3-7B-Instruct",
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"enable_thinking": "auto",
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"settings": {
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"obs_char_cap": 500,
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"obs_fit": true,
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"max_prompt_tokens": 4096,
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"temperature": 1.0,
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"top_p": 1.0,
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"top_k": -1,
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"max_response_tokens": 8192
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},
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"max_model_len": 16384,
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"max_tokens": 8192,
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"samples": 5,
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"variants": [
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"terse",
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"fenced"
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],
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"seed": 0,
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"selector_source_sha256": "0655eefe086a3fa0c1a33d1e581b3c265f95699d62f53f04d06976642fac24a5",
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"outcomes": {
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"terse": {
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"no_valid_id": 9,
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"picked": 151
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},
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"fenced": {
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"picked": 147,
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"no_valid_id": 13
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}
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},
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"seconds": 353.1
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}
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selector/20261009-selector/olmo3/selector_picks.jsonl
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