transformers pytorch bert ner en endpoints_compatible region:us
---
language:
- en
metrics:
- seqeval
tags:
- ner
---

## Overview
This model consists of a bert-base-cased model fine-tuned for Named Entity Recognition (NER) with 18 NE tags on the Universal Dependencies English dataset.
\
https://universaldependencies.org/en/index.html
\
The recognized NE tags are:

|  CARDINAL             |  cardinal value        |
|-----------------------|------------------------|
|  DATE                 |  date value            |
|  EVENT                |  event name            |
|  FAC                  |  building name         |
|  GPE                  |  geo-political entity  |
|  LANGUAGE             |  language name         |
|  LAW                  |  law name              |
|  LOC                  |  location name         |
|  MONEY                |  money name            |
|  NORP                 |  affiliation           |
|  ORDINAL              |  ordinal value         |
|  ORG                  |  organization name     |
|  PERCENT              |  percent value         |
|  PERSON               |  person name           |
|  PRODUCT              |  product name          |
|  QUANTITY             |  quantity value        |
|  TIME                 |  time value            |
|  WORK_OF_ART          |  name of work of art   |


A fine-tuned bert-base-uncased model is also available.