Edit model card
Feature Description
Name en_scispaCy_aaa_repair_type_classification
Version 0.0.0
spaCy >=3.7.4,<3.8.0
Default Pipeline tok2vec, tagger, attribute_ruler, lemmatizer, parser, ner, textcat_multilabel
Components tok2vec, tagger, attribute_ruler, lemmatizer, parser, ner, textcat_multilabel
Vectors 4087446 keys, 50000 unique vectors (200 dimensions)
Sources n/a
License n/a
Author n/a

Label Scheme

View label scheme (101 labels for 4 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, acl:relcl, acomp, advcl, advmod, amod, amod@nmod, appos, attr, aux, auxpass, case, cc, cc:preconj, ccomp, compound, compound:prt, conj, cop, csubj, dative, dep, det, det:predet, dobj, expl, intj, mark, meta, mwe, neg, nmod, nmod:npmod, nmod:poss, nmod:tmod, nsubj, nsubjpass, nummod, parataxis, pcomp, pobj, preconj, predet, prep, punct, quantmod, xcomp
ner ENTITY
textcat_multilabel Primary AAA Repair, Revision AAA Repair, Non-AAA

Accuracy

Type Score
TAG_ACC 0.00
LEMMA_ACC 0.00
DEP_UAS 0.00
DEP_LAS 0.00
DEP_LAS_PER_TYPE 0.00
SENTS_P 0.00
SENTS_R 0.00
SENTS_F 0.00
ENTS_F 0.00
ENTS_P 0.00
ENTS_R 0.00
ENTS_PER_TYPE 0.00
CATS_SCORE 97.93
CATS_MICRO_P 92.39
CATS_MICRO_R 93.41
CATS_MICRO_F 92.90
CATS_MACRO_P 90.15
CATS_MACRO_R 93.13
CATS_MACRO_F 91.46
CATS_MACRO_AUC 97.93
TOK2VEC_LOSS 307.11
TEXTCAT_MULTILABEL_LOSS 100.03
Downloads last month
4
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Evaluation results