

# 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). 
{"language": ["nl"], "tags": ["Named Entity Recognition", "xlm-roberta"], "datasets": ["conll2002"], "metrics": [{"f1": 90.57}]}
transformers pytorch xlm-roberta token-classification Named Entity Recognition nl dataset:conll2002 arxiv:1911.02116 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #xlm-roberta #token-classification #Named Entity Recognition #nl #dataset-conll2002 #arxiv-1911.02116 #autotrain_compatible #endpoints_compatible #region-us 



# 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 URL reciprocated (original results were 90.39 F1, this finetuned version here scored 90.57). 
# 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 URL reciprocated (original results were 90.39 F1, this finetuned version here scored 90.57).
TAGS
#transformers #pytorch #xlm-roberta #token-classification #Named Entity Recognition #nl #dataset-conll2002 #arxiv-1911.02116 #autotrain_compatible #endpoints_compatible #region-us 
 # 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 URL reciprocated (original results were 90.39 F1, this finetuned version here scored 90.57).
passage: TAGS
#transformers #pytorch #xlm-roberta #token-classification #Named Entity Recognition #nl #dataset-conll2002 #arxiv-1911.02116 #autotrain_compatible #endpoints_compatible #region-us 
# 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 URL reciprocated (original results were 90.39 F1, this finetuned version here scored 90.57).