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pii-ner-nemotron

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pii-ner-nemotron
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{
  "run_name": "pii-ner-nemotron",
  "base_model": "xlm-roberta-large",
  "output_dir": "./pii_ner_outputs/nemotron",
  "label_list": [
    "O",
    "B-address",
    "I-address",
    "B-address_apartment",
    "I-address_apartment",
    "B-address_building",
    "I-address_building",
    "B-address_city",
    "I-address_city",
    "B-address_country",
    "I-address_country",
    "B-address_district",
    "I-address_district",
    "B-address_geolocation",
    "I-address_geolocation",
    "B-address_house",
    "I-address_house",
    "B-address_postal_code",
    "I-address_postal_code",
    "B-address_region",
    "I-address_region",
    "B-address_street",
    "I-address_street",
    "B-date",
    "I-date",
    "B-document_number",
    "I-document_number",
    "B-email",
    "I-email",
    "B-first_name",
    "I-first_name",
    "B-ip",
    "I-ip",
    "B-last_name",
    "I-last_name",
    "B-middle_name",
    "I-middle_name",
    "B-military_individual_number",
    "I-military_individual_number",
    "B-mobile_phone",
    "I-mobile_phone",
    "B-name",
    "I-name",
    "B-name_initials",
    "I-name_initials",
    "B-nickname",
    "I-nickname",
    "B-organization",
    "I-organization",
    "B-snils",
    "I-snils",
    "B-tin",
    "I-tin",
    "B-vehicle_number",
    "I-vehicle_number"
  ],
  "metrics": {
    "train_runtime": 1693.5057,
    "train_samples_per_second": 238.116,
    "test_f1": 0.9768405285513023,
    "test_precision": 0.9734942064790006,
    "test_recall": 0.9802099354987895,
    "test_accuracy": 0.9977181928808507
  },
  "timestamp_utc": "2025-12-29T12:06:13.731145+00:00"
}