egumasa/en_engagement_LSTM_f3

Feature	Description
Name	en_engagement_LSTM_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	78.39
SPANS_SC_P	80.72
SPANS_SC_R	76.19
TRAINABLE_TRANSFORMER_LOSS	923.53
SPANCAT_LOSS	115893.68