training_metadata.json

{
  "model_version": "onet31-tfidf-8cc1b32a235b",
  "trained_at_utc": "2026-10-16T07:16:09.864107+00:00",
  "seed": 42,
  "python": "3.12.14",
  "dependencies": {
    "numpy": "2.5.4",
    "scipy": "1.18.1",
    "scikit-learn": "1.9.1"
  },
  "dataset_sha256": {
    "train": "efebcb4d3fe95194fe7de4f9bd4bebf776fcc7d51646a3a677388edf65a58691",
    "validation": "16a080a05ebee845b9a17e7e2bb19ba045d16b8cf7adbbd2beedf83f2e12fe2b",
    "test": "d3aa7631bf16ecd7f963ee815d4d99439c47d26d6fb7f9a31cc05bcaf6da2554"
  },
  "split_counts": {
    "train": 689,
    "validation": 143,
    "test": 173
  },
  "split_group_counts": {
    "train": 35,
    "validation": 10,
    "test": 10
  },
  "parameters": {
    "C": 4.0,
    "max_iter": 2000,
    "max_features": 20000,
    "ngram_range": [
      1,
      2
    ]
  },
  "model_sha256": "128c9d92d87a434a9039a7a8ce8c116603c418ccce17e0ef04e8c01de5c10e11"
}