tyranid-bert / config.json
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{
"encoder": "answerdotai/ModernBERT-base",
"hidden_size": 768,
"num_taxonomy_classes": 5,
"taxonomy_classes": [
"BreakingPublicAPI",
"SecuritySurface",
"ConcurrencyHazard",
"PerformanceRegression",
"SilentLogicDrift"
],
"model_name": "Tyranid-BERT-164M",
"calibrated_temperature": 1.5967,
"default_decision_threshold": 0.4,
"evaluation_metrics": {
"threshold": 0.4,
"accuracy": 0.555,
"precision": 0.5325,
"recall": 0.9,
"f1": 0.6691,
"specificity": 0.21,
"confusion_matrix": {
"TP": 180,
"FP": 158,
"TN": 42,
"FN": 20
}
},
"threshold_sweep": [
{
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"specificity": 0.33,
"TP": 142,
"FP": 134,
"TN": 66,
"FN": 58
},
{
"threshold": 0.3,
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"recall": 0.815,
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"FP": 154,
"TN": 46,
"FN": 37
},
{
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"recall": 0.865,
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"TN": 45,
"FN": 27
},
{
"threshold": 0.4,
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"recall": 0.9,
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"FP": 158,
"TN": 42,
"FN": 20
},
{
"threshold": 0.45,
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"TN": 37,
"FN": 12
},
{
"threshold": 0.5,
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"recall": 0.95,
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"specificity": 0.18,
"TP": 190,
"FP": 164,
"TN": 36,
"FN": 10
},
{
"threshold": 0.55,
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"FP": 167,
"TN": 33,
"FN": 9
},
{
"threshold": 0.6,
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"recall": 0.965,
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"specificity": 0.15,
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"FP": 170,
"TN": 30,
"FN": 7
}
]
}