transformers pytorch xlm-roberta token-classification Named Entity Recognition nl dataset:conll2002 arxiv:1911.02116 autotrain_compatible endpoints_compatible region:us
---
datasets:
- conll2002
language:
- nl
metrics:
- f1: 90.57
tags:
- Named Entity Recognition
- xlm-roberta
---


# XLM-RoBERTa base ConLL-2002 Dutch

XLM-Roberta base model finetuned on ConLL-2002 Dutch train set, which is a Named Entity Recognition dataset containing the following classes: PER, LOC, ORG and MISC. 

Label mapping:
{
  0: O,
  1: B-PER,
  2: I-PER,
  3: B-ORG,
  4: I-ORG,
  5: B-LOC,
  6: I-LOC,
  7: B-MISC,
  8: I-MISC,
}

Results from https://arxiv.org/pdf/1911.02116.pdf reciprocated (original results were 90.39 F1, this finetuned version here scored 90.57). 