bert-keyword-discriminator

This model is a fine-tuned version of bert-base-cased on an unknown 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	Accuracy	F1	Ent/precision	Ent/accuracy	Ent/f1	Con/precision	Con/accuracy	Con/f1
0.1744	1.0	1875	0.1261	0.7176	0.7710	0.9494	0.7433	0.7586	0.8503	0.8018	0.6514	0.6561	0.6537
0.1261	2.0	3750	0.1041	0.7742	0.8057	0.9600	0.7896	0.8083	0.8816	0.8433	0.7185	0.6957	0.7070
0.0878	3.0	5625	0.0979	0.8176	0.8140	0.9655	0.8158	0.8518	0.8789	0.8651	0.7634	0.7199	0.7410
0.0625	4.0	7500	0.0976	0.8228	0.8643	0.9696	0.8430	0.8515	0.9182	0.8836	0.7784	0.7862	0.7823
0.0456	5.0	9375	0.1047	0.8304	0.8758	0.9704	0.8525	0.8758	0.9189	0.8968	0.7655	0.8133	0.7887
0.0342	6.0	11250	0.1207	0.8363	0.8887	0.9719	0.8617	0.8719	0.9274	0.8988	0.7846	0.8327	0.8080
0.0256	7.0	13125	0.1241	0.848	0.8892	0.9731	0.8681	0.8791	0.9299	0.9038	0.8019	0.8302	0.8158
0.0205	8.0	15000	0.1310	0.8522	0.8868	0.9732	0.8692	0.8874	0.9246	0.9056	0.8011	0.8320	0.8163