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sr_pln_tesla_dbmu

Token Classification
spaCy
Serbian
Eval Results
Model card Files Community
sr_pln_tesla_dbmu
File size: 2,945 Bytes 
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{
  "lang":"sr",
  "name":"pln_tesla_dbmu",
  "version":"1.0.0",
  "description":"sr_pln_tesla_dbmu is a spaCy model meticulously fine-tuned for Part-of-Speech Tagging, Lemmatization, and Named Entity Recognition in Serbian language texts. This advanced model incorporates a transformer layer based on distilbert/distilbert-base-multilingual-cased, enhancing its analytical capabilities. It is proficient in identifying 7 distinct categories of entities: PERS (persons), ROLE (professions), DEMO (demonyms), ORG (organizations), LOC (locations), WORK (artworks), and EVENT (events). Detailed information about these categories is available in the accompanying table. The development of this model has been made possible through the support of the Science Fund of the Republic of Serbia, under grant #7276, for the project 'Text Embeddings - Serbian Language Applications - TESLA'.",
  "author":"Milica Ikoni\u0107 Ne\u0161i\u0107, Sa\u0161a Petalinkar, Mihailo \u0160kori\u0107, Ranka Stankovi\u0107",
  "email":"",
  "url":"https://tesla.rgf.bg.ac.rs/",
  "license":"CC BY-SA 3.0",
  "spacy_version":">=3.7.2,<3.8.0",
  "spacy_git_version":"a89eae928",
  "vectors":{
    "width":0,
    "vectors":0,
    "keys":0,
    "name":null
  },
  "labels":{
    "transformer":[

    ],
    "tagger":[
      "ADJ",
      "ADP",
      "ADV",
      "AUX",
      "CCONJ",
      "DET",
      "INTJ",
      "NOUN",
      "NUM",
      "PART",
      "PRON",
      "PROPN",
      "PUNCT",
      "SCONJ",
      "VERB",
      "X"
    ],
    "ner":[
      "DEMO",
      "EVENT",
      "LOC",
      "ORG",
      "PERS",
      "ROLE",
      "WORK"
    ]
  },
  "pipeline":[
    "transformer",
    "tagger",
    "trainable_lemmatizer",
    "ner"
  ],
  "components":[
    "transformer",
    "tagger",
    "trainable_lemmatizer",
    "ner"
  ],
  "disabled":[

  ],
  "performance":{
    "tag_acc":0.9815057009,
    "lemma_acc":0.9797101778,
    "ents_f":0.9485941877,
    "ents_p":0.9465813405,
    "ents_r":0.9506156136,
    "ents_per_type":{
      "ROLE":{
        "p":0.8503487635,
        "r":0.8804990151,
        "f":0.8651612903
      },
      "PERS":{
        "p":0.9804580533,
        "r":0.9852407755,
        "f":0.982843596
      },
      "LOC":{
        "p":0.9490266393,
        "r":0.9765419083,
        "f":0.9625876851
      },
      "DEMO":{
        "p":0.9109375,
        "r":0.9181102362,
        "f":0.9145098039
      },
      "ORG":{
        "p":0.8142164782,
        "r":0.6885245902,
        "f":0.7461139896
      },
      "WORK":{
        "p":0.5918367347,
        "r":0.4084507042,
        "f":0.4833333333
      },
      "EVENT":{
        "p":0.5909090909,
        "r":0.40625,
        "f":0.4814814815
      }
    },
    "transformer_loss":6049.5975609321,
    "tagger_loss":3599.5084625129,
    "trainable_lemmatizer_loss":4660.6587796062,
    "ner_loss":1756.5368891107
  },
  "requirements":[
    "spacy-transformers>=1.3.4,<1.4.0"
  ]
}