Feature Description
Name en_engagement_Dual_RoBERTa_acad3_f3
Version 1.0.0
spaCy >=3.4.4,<3.5.0
Default Pipeline transformer, parser, tagger, ner, attribute_ruler, lemmatizer, trainable_transformer, spancat
Components transformer, parser, tagger, ner, attribute_ruler, lemmatizer, trainable_transformer, spancat
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources n/a
License n/a
Author n/a

Label Scheme

View label scheme (122 labels for 4 components)
Component Labels
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
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, ````
ner CARDINAL, DATE, EVENT, FAC, GPE, LANGUAGE, LAW, LOC, MONEY, NORP, ORDINAL, ORG, PERCENT, PERSON, PRODUCT, QUANTITY, TIME, WORK_OF_ART
spancat JUSTIFYING, MONOGLOSS, ENDOPHORIC, PROCLAIM, ATTRIBUTION, COUNTER, SOURCES, CITATION, ENTERTAIN, DENY

Accuracy

Type Score
DEP_UAS 0.00
DEP_LAS 0.00
DEP_LAS_PER_TYPE 0.00
SENTS_P 86.28
SENTS_R 89.62
SENTS_F 87.92
TAG_ACC 0.00
ENTS_F 0.00
ENTS_P 0.00
ENTS_R 0.00
LEMMA_ACC 0.00
SPANS_SC_F 78.07
SPANS_SC_P 80.42
SPANS_SC_R 75.85
TRAINABLE_TRANSFORMER_LOSS 334.35
SPANCAT_LOSS 74310.84
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Evaluation results