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wpnbos/xlm-roberta-base-conll2002-dutch
xlm-roberta-base-conll2002-dutch is a token classification model from wpnbos. Use it when you need labels on individual words, such as names. It is set up for transformers.
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.
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From the Hugging Face model README
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).