{
  "model": "Veritiana Prompt Task & Complexity Classifier",
  "version": "3.1.0-multisource-balanced",
  "engine": "ONNX Runtime Web",
  "architecture": "1544 hashed lexical/character/numeric features; dual multinomial logistic heads",
  "input": {
    "name": "features",
    "dtype": "float32",
    "shape": [
      "batch",
      1544
    ]
  },
  "outputs": [
    {
      "name": "task_probabilities",
      "dtype": "float32",
      "shape": [
        "batch",
        9
      ]
    },
    {
      "name": "complexity_probabilities",
      "dtype": "float32",
      "shape": [
        "batch",
        3
      ]
    }
  ],
  "task_labels": [
    "general_chat",
    "writing",
    "translation",
    "summarization",
    "research",
    "coding",
    "mathematics",
    "document_analysis",
    "high_stakes"
  ],
  "complexity_labels": [
    "low",
    "medium",
    "high"
  ],
  "training_data": {
    "sources": [
      "OpenAssistant/oasst1",
      "grammarly/coedit",
      "evalplus/mbppplus",
      "google/IFEval"
    ],
    "balanced_rows": 6349,
    "train_rows": 5062,
    "test_rows": 1287,
    "notes": "Low-confidence weak labels excluded; dominant tasks capped; deterministic lexical augmentations grouped with their source during split."
  },
  "validation": {
    "task_accuracy": 0.9121989121989122,
    "task_macro_f1": 0.9103734961055048,
    "complexity_accuracy": 0.8679098679098679,
    "complexity_macro_f1": 0.8723688079771166,
    "runtime": "AI Meter bundled ONNX Runtime Web 1.22.0",
    "runtime_max_abs_diff": 1.1920928955078125e-07
  },
  "onnx_sha256": "dca7560742f19207d089d469c2907e7a1b7c06e2bbf14d2404a5d9359043f572",
  "limitations": "Validation uses weak labels and deterministic augmentations. Do not present these metrics as independent human-ground-truth production accuracy.",
  "model_file": "model.onnx",
  "live_demo": "https://www.veritiana.com/prompt_classifier.html",
  "intended_role": "Local task and complexity recognition before generative execution; input signal for future routing policies."
}