Tanor
/

sr_SRPCNNEL

Token Classification

Model card Files Files and versions Community

Edit model card

Named Entity Linking model for Serbian language

Feature	Description
Name	`sr_SRPCNNEL`
Version	`1.0.0`
spaCy	`>=3.5.2,<3.6.0`
Default Pipeline	`tok2vec`, `tagger`, `ner`, `sentencizer`, `entity_linker`
Components	`tok2vec`, `tagger`, `ner`, `sentencizer`, `entity_linker`
Vectors	0 keys, 0 unique vectors (0 dimensions)
Sources	n/a
License	n/a
Author	Milica Ikonić Nešić, Saša Petalinkar, Ranka Stanković, Miloš Utvić, Olivera Kitanović

Label Scheme

View label scheme (23 labels for 2 components)

Component	Labels
`tagger`	`ADJ`, `ADP`, `ADV`, `AUX`, `CCONJ`, `DET`, `INTJ`, `NOUN`, `NUM`, `PART`, `PRON`, `PROPN`, `PUNCT`, `SCONJ`, `VERB`, `X`
`ner`	`DEMO`, `EVENT`, `LOC`, `ORG`, `PERS`, `ROLE`, `WORK`

Accuracy

Type	Score
`TAG_ACC`	96.49
`ENTS_F`	93.38
`ENTS_P`	93.35
`ENTS_R`	93.40
`TOK2VEC_LOSS`	205472.21
`TAGGER_LOSS`	502844.65
`NER_LOSS`	148170.50

Downloads last month: 4

Inference Examples

Token Classification

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Evaluation results

NER Precision
self-reported

0.933
NER Recall
self-reported

0.934
NER F Score
self-reported

0.934
TAG (XPOS) Accuracy
self-reported

0.965

Metadata error: specify a dataset to view leaderboard