Details: https://spacy.io/models/en#en_core_web_trf
English transformer pipeline (Transformer(name='roberta-base', piece_encoder='byte-bpe', stride=104, type='roberta', width=768, window=144, vocab_size=50265)). Components: transformer, tagger, parser, ner, attribute_ruler, lemmatizer.
| Feature | Description | 
|---|---|
| Name | en_core_web_trf | 
| Version | 3.7.3 | 
| spaCy | >=3.7.2,<3.8.0 | 
| Default Pipeline | transformer, tagger, parser, attribute_ruler, lemmatizer, ner | 
| Components | transformer, tagger, parser, attribute_ruler, lemmatizer, ner | 
| Vectors | 0 keys, 0 unique vectors (0 dimensions) | 
| Sources | OntoNotes 5 (Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston) ClearNLP Constituent-to-Dependency Conversion (Emory University) WordNet 3.0 (Princeton University) roberta-base (Yinhan Liu and Myle Ott and Naman Goyal and Jingfei Du and Mandar Joshi and Danqi Chen and Omer Levy and Mike Lewis and Luke Zettlemoyer and Veselin Stoyanov)  | 
| License | MIT | 
| Author | Explosion | 
Label Scheme
View label scheme (112 labels for 3 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 | 
Accuracy
| Type | Score | 
|---|---|
TOKEN_ACC | 
99.86 | 
TOKEN_P | 
99.57 | 
TOKEN_R | 
99.58 | 
TOKEN_F | 
99.57 | 
TAG_ACC | 
98.13 | 
SENTS_P | 
94.89 | 
SENTS_R | 
85.79 | 
SENTS_F | 
90.11 | 
DEP_UAS | 
95.26 | 
DEP_LAS | 
93.91 | 
ENTS_P | 
90.08 | 
ENTS_R | 
90.30 | 
ENTS_F | 
90.19 | 
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Evaluation results
- NER Precisionself-reported0.901
 - NER Recallself-reported0.903
 - NER F Scoreself-reported0.902
 - TAG (XPOS) Accuracyself-reported0.981
 - Unlabeled Attachment Score (UAS)self-reported0.953
 - Labeled Attachment Score (LAS)self-reported0.939
 - Sentences F-Scoreself-reported0.901