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en_core_web_md

Token Classification
spaCy
English
Eval Results
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en_core_web_md
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---
tags:
- spacy
- token-classification
language:
- en
license: MIT
model-index:
- name: en_core_web_md
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.853733758
    - name: NER Recall
      type: recall
      value: 0.8456530449
    - name: NER F Score
      type: f_score
      value: 0.8496741892
  - task:
      name: POS
      type: token-classification
    metrics:
    - name: POS Accuracy
      type: accuracy
      value: 0.9727831973
  - task:
      name: SENTER
      type: token-classification
    metrics:
    - name: SENTER Precision
      type: precision
      value: 0.9049104721
    - name: SENTER Recall
      type: recall
      value: 0.8801372122
    - name: SENTER F Score
      type: f_score
      value: 0.8923519379
  - task:
      name: UNLABELED_DEPENDENCIES
      type: token-classification
    metrics:
    - name: Unlabeled Dependencies Accuracy
      type: accuracy
      value: 0.9186878782
  - task:
      name: LABELED_DEPENDENCIES
      type: token-classification
    metrics:
    - name: Labeled Dependencies Accuracy
      type: accuracy
      value: 0.9186878782
---
### Details: https://spacy.io/models/en#en_core_web_md

English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.

| Feature | Description |
| --- | --- |
| **Name** | `en_core_web_md` |
| **Version** | `3.1.0` |
| **spaCy** | `>=3.1.0,<3.2.0` |
| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
| **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
| **Vectors** | 684830 keys, 20000 unique vectors (300 dimensions) |
| **Sources** | [OntoNotes 5](https://catalog.ldc.upenn.edu/LDC2013T19) (Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston)<br />[ClearNLP Constituent-to-Dependency Conversion](https://github.com/clir/clearnlp-guidelines/blob/master/md/components/dependency_conversion.md) (Emory University)<br />[WordNet 3.0](https://wordnet.princeton.edu/) (Princeton University)<br />[GloVe Common Crawl](https://nlp.stanford.edu/projects/glove/) (Jeffrey Pennington, Richard Socher, and Christopher D. Manning) |
| **License** | `MIT` |
| **Author** | [Explosion](https://explosion.ai) |

### Label Scheme

<details>

<summary>View label scheme (114 labels for 4 components)</summary>

| Component | Labels |
| --- | --- |
| **`tagger`** | `<!DOCTYPE html>
<html class=