Feature	Description
Name	`en_engagement_RoBERTa_combined`
Version	`AtoI_0.1.85`
spaCy	`>=3.3.0,<3.4.0`
Default Pipeline	`transformer`, `tagger`, `parser`, `ner`, `trainable_transformer`, `span_finder`, `spancat`
Components	`transformer`, `tagger`, `parser`, `ner`, `trainable_transformer`, `span_finder`, `spancat`
Vectors	0 keys, 0 unique vectors (0 dimensions)
Sources	n/a
License	n/a
Author	n/a

View label scheme (124 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`, `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`	`CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART`
`spancat`	`MONOGLOSS`, `ATTRIBUTE`, `JUSTIFY`, `COUNTER`, `CITATION`, `ENTERTAIN`, `ENDORSE`, `DENY`, `CONCUR`, `PRONOUNCE`, `TEMPORAL`, `CONTRAST`

Type	Score
`TAG_ACC`	0.00
`DEP_UAS`	0.00
`DEP_LAS`	0.00
`DEP_LAS_PER_TYPE`	0.00
`SENTS_P`	96.76
`SENTS_R`	98.53
`SENTS_F`	97.64
`ENTS_F`	0.00
`ENTS_P`	0.00
`ENTS_R`	0.00
`SPAN_FINDER_SPAN_CANDIDATES_F`	50.09
`SPAN_FINDER_SPAN_CANDIDATES_P`	35.70
`SPAN_FINDER_SPAN_CANDIDATES_R`	83.94
`SPANS_SC_F`	76.49
`SPANS_SC_P`	75.89
`SPANS_SC_R`	77.11
`LEMMA_ACC`	0.00
`TRAINABLE_TRANSFORMER_LOSS`	1535.39
`SPAN_FINDER_LOSS`	20411.83
`SPANCAT_LOSS`	24075.13

Evaluation results