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@@ -15,4 +15,17 @@ metrics:
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  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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  Results from https://arxiv.org/pdf/1911.02116.pdf reciprocated (original results were 90.39 F1, this finetuned version here scored 90.57).
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  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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+ Label mapping:
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+ {
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+ 0: O,
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+ 1: B-PER,
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+ 2: I-PER,
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+ 3: B-ORG,
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+ 4: I-ORG,
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+ 5: B-LOC,
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+ 6: I-LOC,
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+ 7: B-MISC,
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+ 8: I-MISC,
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+ }
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+
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  Results from https://arxiv.org/pdf/1911.02116.pdf reciprocated (original results were 90.39 F1, this finetuned version here scored 90.57).