bert-base-uncased-dbpedia_14

This model is a fine-tuned version of bert-base-uncased on the dbpedia_14 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	Accuracy
1.7757	0.03	2000	0.2732	0.9880
0.1002	0.06	4000	0.0620	0.9891
0.0547	0.09	6000	0.0723	0.9879
0.0558	0.12	8000	0.0678	0.9875
0.0534	0.14	10000	0.0554	0.9896
0.0632	0.17	12000	0.0670	0.9888
0.0612	0.2	14000	0.0733	0.9873
0.0667	0.23	16000	0.0623	0.9896
0.0636	0.26	18000	0.0836	0.9868
0.0705	0.29	20000	0.0776	0.9855
0.0726	0.32	22000	0.0805	0.9861
0.0778	0.35	24000	0.0713	0.9870
0.0713	0.38	26000	0.1277	0.9805
0.0965	0.4	28000	0.0810	0.9855
0.0881	0.43	30000	0.0910	0.985

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