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pki
/
cybersec-ner-roberta

Token Classification
spaCy
English
ner
named-entity-recognition
cybersecurity
infosec
security
Eval Results (legacy)
Model card Files
xet
Community
cybersec-ner-roberta
File size: 1,883 Bytes 
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{
  "lang":"en",
  "name":"cybersec-ner",
  "version":"1.0.0",
  "spacy_version":">=3.8.11,<3.9.0",
  "description":"Cybersecurity NER model with RoBERTa backbone - extracts security roles, tools, certifications, threats, and more",
  "author":"PKI",
  "email":"",
  "url":"https://huggingface.co/pki-here/cybersec-ner",
  "license":"Apache-2.0",
  "spacy_git_version":"e7a662a",
  "vectors":{
    "width":0,
    "vectors":0,
    "keys":0,
    "name":null,
    "mode":"default"
  },
  "labels":{
    "transformer":[

    ],
    "ner":[
      "ATTACK_TECHNIQUE",
      "CERTIFICATION",
      "FRAMEWORK",
      "REGULATION",
      "SECURITY_DOMAIN",
      "SECURITY_ROLE",
      "SECURITY_TOOL",
      "TECHNICAL_SKILL",
      "THREAT_TYPE"
    ]
  },
  "pipeline":[
    "transformer",
    "ner"
  ],
  "components":[
    "transformer",
    "ner"
  ],
  "disabled":[

  ],
  "performance":{
    "ents_f":0.6943820225,
    "ents_p":0.6912751678,
    "ents_r":0.69751693,
    "ents_per_type":{
      "SECURITY_ROLE":{
        "p":0.4748603352,
        "r":0.7391304348,
        "f":0.5782312925
      },
      "REGULATION":{
        "p":1.0,
        "r":1.0,
        "f":1.0
      },
      "SECURITY_DOMAIN":{
        "p":1.0,
        "r":0.0697674419,
        "f":0.1304347826
      },
      "TECHNICAL_SKILL":{
        "p":0.5981308411,
        "r":0.5039370079,
        "f":0.547008547
      },
      "SECURITY_TOOL":{
        "p":1.0,
        "r":1.0,
        "f":1.0
      },
      "CERTIFICATION":{
        "p":1.0,
        "r":1.0,
        "f":1.0
      },
      "THREAT_TYPE":{
        "p":0.9,
        "r":0.9,
        "f":0.9
      },
      "FRAMEWORK":{
        "p":1.0,
        "r":1.0,
        "f":1.0
      },
      "ATTACK_TECHNIQUE":{
        "p":1.0,
        "r":1.0,
        "f":1.0
      }
    },
    "transformer_loss":1749.1020674201,
    "ner_loss":20168.375
  }
}