spacy model loading regression

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3

Just a reminder that I built this model using the core_web_sm model as a base Loading gensim word2vec vectors for terms.teach? :

tagger/cfg

{
  "cnn_maxout_pieces":2,
  "pretrained_dims":0
}

meta.json:

{
  "lang":"en",
  "pipeline":[
    "tagger",
    "parser",
    "ner"
  ],
  "accuracy":{
    "token_acc":99.8698372794,
    "ents_p":84.9664503965,
    "ents_r":85.6312524451,
    "uas":91.7237657538,
    "tags_acc":97.0403350292,
    "ents_f":85.2975560875,
    "las":89.800872413
  },
  "name":"core_web_sm",
  "license":"CC BY-SA 3.0",
  "author":"Explosion AI",
  "url":"https://explosion.ai",
  "vectors":{
    "width":100,
    "vectors":1081412,
    "keys":1081412
  },
  "sources":[
    "OntoNotes 5",
    "Common Crawl"
  ],
  "version":"2.0.0",
  "spacy_version":">=2.0.0a18",
  "parent_package":"spacy",
  "speed":{
    "gpu":null,
    "nwords":291344,
    "cpu":5122.3040471407
  },
  "email":"contact@explosion.ai",
  "description":"English multi-task CNN trained on OntoNotes, with GloVe vectors trained on Common Crawl. Assigns word vectors, context-specific token vectors, POS tags, dependency parse and named entities."
}