en_ud_L1_combined_trf

RusCucumber/en_ud_L1_combined_trf

en_ud_L1_combined_trf is a token classification model from RusCucumber. Use it when you need labels on individual words, such as names. It is set up for spacy.

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At a glance

Task: Token Classification
Library: spacy
Access: Public
Created: Jun 9, 2025
Updated: Jun 9, 2025
SHA: 73f33628

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Model card

From the Hugging Face model README

Feature	Description
Name	`en_ud_L1_combined_trf`
Version	`1.0.2`
spaCy	`>=3.5.3,<3.6.0`
Default Pipeline	`transformer`, `tagger`, `parser`
Components	`transformer`, `tagger`, `parser`
Vectors	0 keys, 0 unique vectors (0 dimensions)
Sources	n/a
License	n/a
Author	n/a

Label Scheme

<details> <summary>View label scheme (99 labels for 2 components)</summary>

Component Labels

tagger $, '', ,, -LRB-, -RRB-, ., :, ADD, AFX, CC, CD, DT, EX, FW, GW, HYPH, IN, JJ, JJR, JJS, LS, MD, NFP, NN, NNP, NNPS, NNS, PDT, POS, PRP, PRP$, RB, RBR, RBS, RP, SYM, TO, UH, VB, VBD, VBG, VBN, VBP, VBZ, WDT, WP, WP$, WRB, ````

parser ROOT, acl, acl:relcl, advcl, advcl:relcl, advmod, amod, appos, aux, aux:pass, case, cc, cc:preconj, ccomp, compound, compound:prt, conj, cop, csubj, dep, det, det:predet, discourse, dislocated, expl, fixed, flat, goeswith, iobj, list, mark, nmod, nmod:npmod, nmod:poss, nmod:tmod, nsubj, nsubj:outer, nsubj:pass, nummod, obj, obl, obl:agent, obl:npmod, obl:tmod, orphan, parataxis, punct, reparandum, vocative, xcomp

Component	Labels
`tagger`	`$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `GW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, ````
`parser`	`ROOT`, `acl`, `acl:relcl`, `advcl`, `advcl:relcl`, `advmod`, `amod`, `appos`, `aux`, `aux:pass`, `case`, `cc`, `cc:preconj`, `ccomp`, `compound`, `compound:prt`, `conj`, `cop`, `csubj`, `dep`, `det`, `det:predet`, `discourse`, `dislocated`, `expl`, `fixed`, `flat`, `goeswith`, `iobj`, `list`, `mark`, `nmod`, `nmod:npmod`, `nmod:poss`, `nmod:tmod`, `nsubj`, `nsubj:outer`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `obl:npmod`, `obl:tmod`, `orphan`, `parataxis`, `punct`, `reparandum`, `vocative`, `xcomp`

</details>

Accuracy

Type	Score
`TAG_ACC`	97.20
`DEP_UAS`	93.72
`DEP_LAS`	91.70
`SENTS_P`	92.64
`SENTS_R`	91.46
`SENTS_F`	92.05
`POS_ACC`	0.00
`TRANSFORMER_LOSS`	106065.49
`TAGGER_LOSS`	78371.56
`PARSER_LOSS`	803506.29

Task: Token Classification
Library: spacy
Languages: en
Created: Jun 9, 2025
Updated: Jun 9, 2025