PEFT
Safetensors
English
sev
research
cybersecurity
agent-activity
decision-model
lora
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{
  "temperature": 1.6817928305074288,
  "split": "calibration",
  "n": 2674,
  "records": 1920,
  "fit": {
    "aggregation": "micro",
    "points": 81
  },
  "range": [
    0.25,
    4.0
  ],
  "method": "Minimum question-weighted raw-logit NLL on the registered 81-point grid",
  "rows_sha256": "026b68705b7ac76bc4361bc2fda1cbfe74265b436a807ea68bca77f87d3cf9da",
  "suite_sha256": "3b9a80dfd212b6932b66ea520c35ab1a3b19e132a81af1b6b7b306d776a70a02",
  "partition_sha256": "890c363c5bfe5351600071691eefb47dcf4e2530b31b75d4ce8830bd6381f585",
  "raw": {
    "n": 2674,
    "nll": 0.4725028808328134,
    "acc": 0.7860882572924458,
    "ece": 0.07626143666496761,
    "brier": 0.27460003407338146,
    "mean_conf": 0.8621290491523242,
    "confident_error_rate": 0.014958863126402393,
    "coverage_at_0_9": 0.6484667165295438,
    "accuracy_at_0_9": 0.9769319492502884,
    "coverage_at_5pct_error": 0.6836200448765893,
    "coverage_at_1pct_error": 0.5445026178010471,
    "aurc": 0.04976778143359611,
    "error_rate_at_0_9": 0.02306805074971165,
    "confidence_bias": 0.07604079185987844,
    "top_bins": {
      "0.9": {
        "n": 1734,
        "errors": 40,
        "error_rate": 0.02306805074971165
      },
      "0.95": {
        "n": 1681,
        "errors": 27,
        "error_rate": 0.016061867935752528
      },
      "0.99": {
        "n": 1576,
        "errors": 18,
        "error_rate": 0.011421319796954314
      }
    },
    "selective": {
      "0.5": {
        "coverage": 0.5336574420344053,
        "accuracy": 0.9901892081289418,
        "confidence_cutoff": 0.9953955617749282
      },
      "0.8": {
        "coverage": 0.8002991772625281,
        "accuracy": 0.8700934579439252,
        "confidence_cutoff": 0.6415496468544006
      }
    },
    "score_mae": 0.2929868856899385,
    "ranked_probability_score": 0.051781539475752744
  },
  "calibrated_in_sample": {
    "n": 2674,
    "nll": 0.43392263388002145,
    "acc": 0.7860882572924458,
    "ece": 0.03637322481154805,
    "brier": 0.25527252174288456,
    "mean_conf": 0.8087133880682658,
    "confident_error_rate": 0.008227374719521317,
    "coverage_at_0_9": 0.6110695587135377,
    "accuracy_at_0_9": 0.9865361077111383,
    "coverage_at_5pct_error": 0.681376215407629,
    "coverage_at_1pct_error": 0.5508601346297681,
    "aurc": 0.04945553724105698,
    "error_rate_at_0_9": 0.01346389228886169,
    "confidence_bias": 0.022625130775819957,
    "top_bins": {
      "0.9": {
        "n": 1634,
        "errors": 22,
        "error_rate": 0.01346389228886169
      },
      "0.95": {
        "n": 1216,
        "errors": 6,
        "error_rate": 0.004934210526315789
      },
      "0.99": {
        "n": 849,
        "errors": 0,
        "error_rate": 0.0
      }
    },
    "selective": {
      "0.5": {
        "coverage": 0.5415108451757666,
        "accuracy": 0.9903314917127072,
        "confidence_cutoff": 0.9486799539412789
      },
      "0.8": {
        "coverage": 0.8025430067314884,
        "accuracy": 0.869524697110904,
        "confidence_cutoff": 0.52766162421842
      }
    },
    "score_mae": 0.305269819429472,
    "ranked_probability_score": 0.047216708865340906
  },
  "cross_validation": {
    "raw": {
      "n": 2674,
      "ece": 0.07626143666496761,
      "brier": 0.27460003407338146,
      "nll": 0.4725028808328134,
      "confident_error_rate": 0.014958863126402393,
      "coverage_at_5pct_error": 0.6836200448765893
    },
    "out_of_fold": {
      "n": 2674,
      "ece": 0.03385822665024142,
      "brier": 0.25613476719854117,
      "nll": 0.4366331749349656,
      "confident_error_rate": 0.008601346297681375,
      "coverage_at_5pct_error": 0.6787584143605087
    },
    "ece_ci95": {
      "raw": [
        0.04594906201817091,
        0.12662647548801886
      ],
      "out_of_fold": [
        0.02123422426875222,
        0.07282022929885298
      ],
      "delta": [
        -0.0632669637757567,
        -0.014968453240614701
      ]
    },
    "separated": true,
    "temperatures": [
      1.5691681957935013,
      1.6817928305074288,
      1.741101126592248,
      1.8025009252216602,
      1.6245047927124707
    ],
    "folds": 5,
    "seed": 20260927,
    "samples": 1000,
    "groups": 465,
    "unit": "source-stratified (source, group); sibling questions and variants stay together"
  },
  "cv_grouping": "Exact group IDs across source families; one constant source stratum",
  "development_used_for_fit": false,
  "test_read": false,
  "note": "CV is a diagnostic within calibration data, not fresh field validation. The shipped value is the full calibration fit."
}