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en_engagement_spl_RoBERTa_acad2
egumasa/en_engagement_spl_RoBERTa_acad2
en_engagement_spl_RoBERTa_acad2 is a token classification model from egumasa. Use it when you need labels on individual words, such as names. It is set up for spacy.
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2 GB
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At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Jan 11, 2023
- Updated
- Jan 11, 2023
- SHA
- 7a7a0b44
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Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_engagement_spl_RoBERTa_acad2 |
| Version | 0.6.3 |
| 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
<details> <summary>View label scheme (124 labels for 4 components)</summary>| 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 | MONOGLOSS, ENDORSE, ENDOPHORIC, ENTERTAIN, PRONOUNCE, DENY, COUNTER, JUSTIFYING, ATTRIBUTE, SOURCES, CITATION, CONCUR |
Accuracy
| Type | Score |
|---|---|
DEP_UAS | 0.00 |
DEP_LAS | 0.00 |
DEP_LAS_PER_TYPE | 0.00 |
SENTS_P | 82.24 |
SENTS_R | 88.13 |
SENTS_F | 85.08 |
TAG_ACC | 0.00 |
ENTS_F | 0.00 |
ENTS_P | 0.00 |
ENTS_R | 0.00 |
LEMMA_ACC | 0.00 |
SPANS_SC_F | 72.71 |
SPANS_SC_P | 73.50 |
SPANS_SC_R | 71.94 |
TRAINABLE_TRANSFORMER_LOSS | 411.59 |
SPANCAT_LOSS | 87429.41 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Jan 11, 2023
- Updated
- Jan 11, 2023