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munkhdelger1/
roberta-base-ner-demo

Name: roberta-base-ner-demo
Availability: InStock

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roberta-base-ner-demo

This model is a fine-tuned version of bayartsogt/mongolian-roberta-base on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.9745	1.0	477	0.5080	0.2164	0.1205	0.1548	0.8187
0.425	2.0	954	0.3128	0.5213	0.5929	0.5548	0.9038
0.2943	3.0	1431	0.2337	0.5905	0.6781	0.6313	0.9237
0.2393	4.0	1908	0.2000	0.6303	0.7224	0.6732	0.9333
0.2134	5.0	2385	0.1813	0.6526	0.7434	0.6951	0.9384
0.1978	6.0	2862	0.1704	0.6629	0.7527	0.7050	0.9412
0.1885	7.0	3339	0.1647	0.6737	0.7625	0.7154	0.9429
0.1823	8.0	3816	0.1595	0.6816	0.7680	0.7222	0.9443
0.1792	9.0	4293	0.1576	0.6843	0.7713	0.7252	0.9451
0.1778	10.0	4770	0.1566	0.6857	0.7725	0.7265	0.9453