File size: 5,269 Bytes
294f8ea | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 | {
"pid": 1673217,
"source_commit": "07f10e791061a679b829ed1dc5b33897e001d67d",
"checkpoint_sha256": "c4f781e80ade257544100b03c525709d0559eb2bf6a992c97708554c7d360aca",
"selected_step": 0,
"data_signature": "76183c642668602f42b7f3e71a3fe03bd5bd76f064fce4ba92351d8703396207",
"model_provenance": {
"model_id": "Qwen/Qwen3-4B-Instruct-2507",
"revision": "cdbee75f17c01a7cc42f958dc650907174af0554",
"license": "apache-2.0"
},
"training_config": {
"command": "train",
"model": "/home/andy/ai/models/opensysone/Qwen3-4B-Instruct-2507-cdbee75f",
"dataset": "/home/andy/ai/opensysone/data/public-decisions-v2-20260917",
"output": "/home/andy/ai/opensysone/runs/20260917T070758Z-train/artifacts",
"resume": null,
"warm_start": "/home/andy/ai/opensysone/runs/20260917T070415Z-expanded-parent/best.pt",
"allow_train_data_change": true,
"steps": 8,
"epochs": 3,
"rank": 8,
"alpha": 16.0,
"head_only": false,
"two_pass": true,
"lr": 2e-05,
"head_lr": 2e-05,
"seed": 433,
"effective_batch": 4,
"branch_batch_size": 1,
"max_tokens": 512,
"save_steps": 250,
"save_seconds": 900,
"eval_steps": 500,
"validation_per_family": 128,
"patience": 8,
"deadline": "2026-09-17T16:00:00Z",
"schedule_steps": 3500,
"selection_metric": "crossfit_temperature_nll_v1",
"adapters": true
},
"training_source_commit": "24b8ccf60d388f9cbb184e03a6ae260a1f5a8b86",
"source_sha256": {
"playground.py": "b10c400421dd8558a7fef8ddde632676cdfe7f63edf94184f299f9ed569c010a",
"selection.py": "be0a7a8496b5b830aa572ceba93606320f442063fd38180503fd6980dc1c578f",
"training_model.py": "d5b0aefeeb5290816bc0b669aa0a8cbbe27f6a12b9cb23c141ac9b9ae9ee4e65",
"decision_model.py": "a3d8aeb02a1ac765c6cc30ff175acad0664560f01ab5403e22cade924d17371e",
"data_transition.py": "93aaa89b4de3aa78c34f03a5643e31f91f738c832395334966368df9b902621c",
"smoke_data.py": "06b3cbac1c8c4a86b8aecbee4459073cc3e46d4ddcd576392f3cb4805924f815",
"jev_harness.py": "4d4e979cb7ae352bcdacaaa6d64045e6b5e550b1a9721d4bad545045bee6c67f",
"experiment.py": "c779c3936aa1c2c51052f035df7bc0895a2de79c9ffc6c50fb0ee848832e17c7",
"smoke_train.py": "8cdeb2b397177fc9c26638aaa871501ddab8e3871aa1573ecd98f66590f5c228",
"scripts/run_experiment.sh": "661a6309fc54a2a8aff918f14a553c72dcb21730bd6a3cfc55d6ccd4700d11d3",
"scripts/download_candidate.py": "d06a2c01be0cf6577f927fb37e3bc1eab014949fd934e4f4d9825674adba608e",
"scripts/prepare_public_data.py": "32ea84aa719818e1141b958b6ef27a85f7ddb86bfcd7c1585fc487b25253d977",
"scripts/prepare_expansion_backup.py": "0b546fd6b96e34316fddcb06314fa072d1ddb9c06d7e6979ccd790421b93f419",
"scripts/verify_playground_layout.cjs": "dea3fa07c568c141cd58fead8c547db7196f4a48fe4ea4cea0312d2ba7bd8bb4",
"scripts/run_smoke.sh": "39d59f2120f362729d1c2e384391b82be1e580dcc1aca0eaa7ab231115225574",
"scripts/start_spark_candidate.sh": "c2ca18b008a144de7cb264c9fcca634d68c4a8a317db3638e8a70b3dbcff064b",
"scripts/launch_24h.py": "39c26dc10535d3adac09209b0743edf2ed384563e732512ad62f8c6f37161a83",
"scripts/verify_artifact.py": "9833350e9d72c0065b15206bb71c5a8b5a6b3185219db90074e369ede563a985",
"scripts/publish_hf_snapshot.py": "b5fe16a00fcbc5ab97121428c6ce750275ee193438e3ffe24aac5e3bb325c018",
"scripts/prepare_expanded_data.py": "5c05478b29c84218784690f3c7c3ec994615fec1c57826591607189f191c56b4",
"scripts/fleet_campaign.py": "e69fdff96f92c6943b7895be11df444f016d0b744a1b9441995a5f8bb7af9d54",
"scripts/run_precision.sh": "766d82b30cf3e83951f662685b4472ee053c7fbc171c4ff140823bf4d1c2782f",
"scripts/fleet_status.py": "2519ced157ef4ac4fa449eebabae5740d7527778d578b4ac6720583010fa5217",
"scripts/profile_inference.py": "84e3032b5965049606e2486391eece49436ff66c1badad5dd5169d2f9eb0e97f",
"scripts/verify_playground.cjs": "a55aa0e945baeb9e536c2b9cce7a9aa2364244b587e90477190add96f78601dc",
"scripts/diagnose_parity.py": "08b5d66d316ebda98a2226251a4f952701f86a1d5726ce7a4d7e8fb22755da5a",
"scripts/publish_hf_final.py": "278efc5878d7ebc5d1171f3a735d6c7d78275d93650e5a8a16c3f55b8353a577",
"scripts/final_validation.py": "f5cea8bad330dd066f43b3dea5a977dbe3e8d5d69336d2850279bb743b628643",
"scripts/verify_expanded_startup.py": "deabba820a3580e578d2d955d3ac3fd2e3982af999523c1d9a8b6dc6e2e1b755",
"scripts/download_model.py": "72ad9a5de44d09e2ee4ed8afb7c3c0ff6fb48987410a3f7f0368353572bf1f4d",
"scripts/investigate_precision.py": "609b744a926d8a45b87ba8d225e5312ee0c71a7096b21bd3589c5846e1dc847c",
"scripts/campaign_status.py": "1500b5e24f06231c7aafd7277aefd840582e35997e265f79db93614828d34411"
},
"packages": {
"torch": "2.11.0+cu130",
"transformers": "5.15.0",
"pyarrow": "25.0.1",
"numpy": "2.5.2"
},
"hostname": "gx10-9dd0",
"cuda": "13.0",
"gpu": "NVIDIA GB10",
"cuda_cap_bytes": 17179869184,
"initial_mem_available_bytes": 87274446848,
"oom_score_adj": "0",
"selection": {
"metric": "crossfit_temperature_nll_v1",
"score": 0.1701497127614862,
"raw_macro_nll": 0.190872636672039,
"scope": "validation only; reserved calibration/test/holdout not used"
},
"started_utc": "2026-09-17T08:09:57.452960+00:00"
}
|