bert-base-german-cased-20000-ner-uncased

This model is a fine-tuned version of dbmdz/bert-base-german-uncased on the None 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
No log	0.34	64	0.0573	0.8859	0.8526	0.8689	0.9837
No log	0.68	128	0.0654	0.8107	0.8957	0.8511	0.9808
No log	1.02	192	0.0531	0.8654	0.8846	0.8749	0.9842
No log	1.35	256	0.0467	0.8847	0.8853	0.8850	0.9857
No log	1.69	320	0.0466	0.9102	0.8883	0.8992	0.9864
No log	2.03	384	0.0467	0.8794	0.8951	0.8872	0.9854
No log	2.37	448	0.0520	0.8864	0.9001	0.8932	0.9851
0.0531	2.71	512	0.0549	0.8894	0.8877	0.8885	0.9854
0.0531	3.05	576	0.0534	0.8942	0.8920	0.8931	0.9857
0.0531	3.39	640	0.0526	0.8917	0.8994	0.8956	0.9856
0.0531	3.72	704	0.0576	0.9049	0.8976	0.9012	0.9857
0.0531	4.06	768	0.0700	0.8529	0.9229	0.8865	0.9830
0.0531	4.4	832	0.0657	0.8716	0.9167	0.8936	0.9840
0.0531	4.74	896	0.0617	0.8871	0.9013	0.8941	0.9848