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---
tags:
- spacy
- token-classification
language:
- pl
license: gpl-3.0
model-index:
- name: pl_nask
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.9092043682
- name: NER Recall
type: recall
value: 0.9072229141
- name: NER F Score
type: f_score
value: 0.9082125604
- task:
name: TAG
type: token-classification
metrics:
- name: TAG (XPOS) Accuracy
type: accuracy
value: 0.9626419163,
- task:
name: UNLABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Unlabeled Attachment Score (UAS)
type: f_score
value: 0.9290706682
- task:
name: LABELED_DEPENDENCIES
type: token-classification
metrics:
- name: Labeled Attachment Score (LAS)
type: f_score
value: 0.8765904858
- task:
name: SENTS
type: token-classification
metrics:
- name: Sentences F-Score
type: f_score
value: 0.9918545179
---
### Details: https://github.com/ipipan/spacy-pl-trf
Polish transformer pipeline (herbert-base-cased). Components: transformer, tagger, parser, ner, morfeusz.
| Feature | Description |
| --- | --- |
| **Name** | `pl_nask` |
| **Version** | `0.0.7` |
| **spaCy** | `>=3.5.0,<3.6.0` |
| **Default Pipeline** | `transformer`, `tagger`, `morphologizer`, `parser`, `ner`, `morfeusz` |
| **Components** | `transformer`, `tagger`, `morphologizer`, `parser`, `ner`, `morfeusz` |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
| **Sources** | [Morfeusz2](http://morfeusz.sgjp.pl/en) 2-clauseBSD License<br /> [NKJP1M](http://nkjp.pl/) CC-BY<br /> [NKJP1MUD](http://git.nlp.ipipan.waw.pl/alina/PDBUD/tree/master) GNU GPL v.3<br /> [Herbert-base-cased](https://huggingface.co/allegro/herbert-base-cased) CC-BY<br /> [PDB](http://zil.ipipan.waw.pl/PDB) CC BY-NC-SA 4.0<br /> |
| **License** | `GNU GPL 3.0` |
| **Author** | [Ryszard Tuora ICS PAS](http://zil.ipipan.waw.pl/) |
### Label Scheme
<details>
<summary>View label scheme</summary>
| Component | Labels |
| --- | --- |
| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advcl:cmpr`, `advcl:relcl`, `advmod`, `advmod:arg`, `advmod:emph`, `advmod:neg`, `amod`, `amod:flat`, `appos`, `aux`, `aux:cnd`, `aux:imp`, `aux:pass`, `case`, `cc`, `cc:preconj`, `ccomp`, `ccomp:cleft`, `ccomp:obj`, `conj`, `cop`, `csubj`, `dep`, `det`, `det:numgov`, `det:nummod`, `det:poss`, `discourse:intj`, `expl:pv`, `fixed`, `flat`, `flat:foreign`, `iobj`, `list`, `mark`, `nmod`, `nmod:arg`, `nmod:flat`, `nmod:poss`, `nsubj`, `nsubj:pass`, `nummod`, `nummod:flat`, `nummod:gov`, `obj`, `obl`, `obl:agent`, `obl:arg`, `obl:cmpr`, `obl:orphan`, `orphan`, `parataxis:insert`, `parataxis:obj`, `punct`, `vocative`, `xcomp`, `xcomp:cleft`, `xcomp:pred`, `xcomp:subj` |
| **`ner`** | `DATE`, `GEOGNAME`, `ORGNAME`, `PERSNAME`, `PLACENAME`, `TIME` |
</details>
### Accuracy
| Type | Score |
| --- | --- |
| `TAG_ACC` | 96.26 |
| `POS_ACC` | 98.18 |
| `MORPH_ACC` | 96.61 |
| `SENTS_P` | 99.13 |
| `SENTS_R` | 99.24 |
| `SENTS_F` | 99.19 |
| `DEP_UAS` | 92.91 |
| `DEP_LAS` | 87.66 |
| `ENTS_P` | 90.92 |
| `ENTS_R` | 90.72 |
| `ENTS_F` | 90.82 |
|