xlm-roberta-base-mapa_coarse-ner

This model is a fine-tuned version of xlm-roberta-base on the lextreme dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0584	1.0	1739	0.0576	0.6088	0.5790	0.5935	0.9860
0.0475	2.0	3478	0.0522	0.6455	0.6574	0.6514	0.9870
0.0409	3.0	5217	0.0517	0.6490	0.6675	0.6581	0.9871
0.04	4.0	6956	0.0516	0.6562	0.6720	0.6640	0.9871
0.0422	5.0	8695	0.0513	0.6573	0.6722	0.6647	0.9871
0.0398	6.0	10434	0.0515	0.6602	0.6697	0.6649	0.9872
0.0407	7.0	12173	0.0516	0.6612	0.6663	0.6638	0.9872
0.0382	8.0	13912	0.0516	0.6626	0.6648	0.6637	0.9872
0.0398	9.0	15651	0.0515	0.6627	0.6660	0.6643	0.9872
0.0401	10.0	17390	0.0515	0.6624	0.6657	0.6640	0.9872

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