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Feature Description
Name en_engagement_spl_RoBERTa_base_attention
Version 0.0.1
spaCy >=3.6.0,<3.7.0
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 ATTRIBUTION, ENTERTAIN, PROCLAIM, SOURCES, MONOGLOSS, CITATION, ENDOPHORIC, DENY, JUSTIFYING, COUNTER

Accuracy

Type Score
DEP_UAS 0.00
DEP_LAS 0.00
DEP_LAS_PER_TYPE 0.00
SENTS_P 93.64
SENTS_R 95.78
SENTS_F 94.69
TAG_ACC 0.00
ENTS_F 0.00
ENTS_P 0.00
ENTS_R 0.00
LEMMA_ACC 0.00
SPANS_SC_F 77.65
SPANS_SC_P 78.19
SPANS_SC_R 77.12
TRAINABLE_TRANSFORMER_LOSS 5917.79
SPANCAT_LOSS 76188.74
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Evaluation results