spaCy/website/docs/usage/_benchmarks-models.md

import { Help } from 'components/typography'; import Link from 'components/link'

<figure>

| Pipeline                                                   | Parser | Tagger |  NER |
| ---------------------------------------------------------- | -----: | -----: | ---: |
| [`en_core_web_trf`](/models/en#en_core_web_trf) (spaCy v3) |   95.1 |   97.8 | 89.8 |
| [`en_core_web_lg`](/models/en#en_core_web_lg) (spaCy v3)   |   92.0 |   97.4 | 85.5 |
| `en_core_web_lg` (spaCy v2)                                |   91.9 |   97.2 | 85.5 |

<figcaption class="caption">

**Full pipeline accuracy** on the
[OntoNotes 5.0](https://catalog.ldc.upenn.edu/LDC2013T19) corpus (reported on
the development set).

</figcaption>

</figure>

<figure>

| Named Entity Recognition System  | OntoNotes | CoNLL '03 |
| -------------------------------- | --------: | --------: |
| spaCy RoBERTa (2020)             |      89.8 |      91.6 |
| Stanza (StanfordNLP)<sup>1</sup> |      88.8 |      92.1 |
| Flair<sup>2</sup>                |      89.7 |      93.1 |

<figcaption class="caption">

**Named entity recognition accuracy** on the
[OntoNotes 5.0](https://catalog.ldc.upenn.edu/LDC2013T19) and
[CoNLL-2003](https://www.aclweb.org/anthology/W03-0419.pdf) corpora. See
[NLP-progress](http://nlpprogress.com/english/named_entity_recognition.html) for
more results. Project template:
[`benchmarks/ner_conll03`](%%GITHUB_PROJECTS/benchmarks/ner_conll03). **1. **
[Qi et al. (2020)](https://arxiv.org/pdf/2003.07082.pdf). **2. **
[Akbik et al. (2018)](https://www.aclweb.org/anthology/C18-1139/).

</figcaption>

</figure>