README.md

metadata

tags:
  - spacy
  - token-classification
language:
  - en
model-index:
  - name: en_pipeline
    results:
      - tasks:
          name: NER
          type: token-classification
          metrics:
            - name: Precision
              type: precision
              value: 0.9946896173
            - name: Recall
              type: recall
              value: 0.9916932907
            - name: F Score
              type: f_score
              value: 0.9931891941
      - tasks:
          name: POS
          type: token-classification
          metrics:
            - name: Accuracy
              type: accuracy
              value: 0
      - tasks:
          name: SENTER
          type: token-classification
          metrics:
            - name: Precision
              type: precision
              value: 1
            - name: Recall
              type: recall
              value: 1
            - name: F Score
              type: f_score
              value: 1
      - tasks:
          name: UNLABELED_DEPENDENCIES
          type: token-classification
          metrics:
            - name: Accuracy
              type: accuracy
              value: 0
      - tasks:
          name: LABELED_DEPENDENCIES
          type: token-classification
          metrics:
            - name: Accuracy
              type: accuracy
              value: 0

Feature	Description
Name	en_pipeline
Version	0.0.0
spaCy	>=3.1.0,<3.2.0
Default Pipeline	tok2vec, tagger, parser, ner, attribute_ruler, lemmatizer
Components	tok2vec, tagger, parser, ner, attribute_ruler, lemmatizer
Vectors	0 keys, 0 unique vectors (0 dimensions)
Sources	n/a
License	n/a
Author	n/a

Label Scheme

View label scheme (114 labels for 3 components)

Component	Labels
tagger	$, '', ,, -LRB-, -RRB-, ., :, ADD, AFX, CC, CD, DT, EX, FW, HYPH, IN, JJ, JJR, JJS, LS, MD, NFP, NN, NNP, NNPS, NNS, PDT, POS, PRP, PRP$, RB, RBR, RBS, RP, SYM, TO, UH, VB, VBD, VBG, VBN, VBP, VBZ, WDT, WP, WP$, WRB, XX, ````
parser	ROOT, acl, acomp, advcl, advmod, agent, amod, appos, attr, aux, auxpass, case, cc, ccomp, compound, conj, csubj, csubjpass, dative, dep, det, dobj, expl, intj, mark, meta, neg, nmod, npadvmod, nsubj, nsubjpass, nummod, oprd, parataxis, pcomp, pobj, poss, preconj, predet, prep, prt, punct, quantmod, relcl, xcomp
ner	ARC, AST, BOOK, CAUSAL, COMPARISON, DATE, HEM, HOUR, HYPO, INSTRUMENT, JUDGEMENT, LAWS, MODEL, NAME, Observation, PAR, PLACE, QUANTITY, REASON, ZOD

Accuracy

Type	Score
TAG_ACC	0.00
DEP_UAS	0.00
DEP_LAS	0.00
DEP_LAS_PER_TYPE	0.00
SENTS_P	100.00
SENTS_R	100.00
SENTS_F	100.00
ENTS_F	99.32
ENTS_P	99.47
ENTS_R	99.17
LEMMA_ACC	0.00
NER_LOSS	7790.09