Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.3751	0.49	1000	0.3876	0.7294	0.7381	0.7337	0.8758
0.3211	0.99	2000	0.3530	0.7603	0.7427	0.7514	0.8851
0.2932	1.48	3000	0.3443	0.7501	0.7757	0.7627	0.8882
0.2884	1.98	4000	0.3404	0.7553	0.7878	0.7712	0.8907
0.268	2.47	5000	0.3241	0.7705	0.7888	0.7795	0.8959
0.2638	2.96	6000	0.3246	0.7823	0.7850	0.7836	0.8954
0.246	3.46	7000	0.3175	0.7769	0.7989	0.7878	0.8999
0.2457	3.95	8000	0.3216	0.7732	0.7934	0.7832	0.8999
0.2253	4.44	9000	0.3180	0.7792	0.7983	0.7887	0.8995
0.2271	4.94	10000	0.3250	0.7868	0.7895	0.7882	0.8996
0.2085	5.43	11000	0.3435	0.7838	0.7967	0.7902	0.8995
0.2091	5.93	12000	0.3300	0.7855	0.7958	0.7906	0.9009
0.1927	6.42	13000	0.3272	0.7771	0.7983	0.7876	0.9017
0.1932	6.91	14000	0.3310	0.7836	0.8060	0.7946	0.9047
0.1777	7.41	15000	0.3377	0.7882	0.8045	0.7963	0.9052
0.1785	7.9	16000	0.3406	0.7812	0.8042	0.7925	0.9036
0.1658	8.4	17000	0.3528	0.7892	0.7992	0.7942	0.9043
0.1651	8.89	18000	0.3419	0.7914	0.8072	0.7992	0.9068
0.1549	9.38	19000	0.3600	0.7931	0.7964	0.7948	0.9045
0.1539	9.88	20000	0.3525	0.7851	0.8091	0.7970	0.9052
0.1449	10.37	21000	0.3634	0.7881	0.7998	0.7939	0.9046
0.1436	10.86	22000	0.3736	0.7916	0.8058	0.7986	0.9069
0.1368	11.36	23000	0.3771	0.7892	0.8020	0.7955	0.9053
0.1347	11.85	24000	0.3800	0.7861	0.8060	0.7959	0.9045
0.1281	12.35	25000	0.3911	0.7852	0.8055	0.7952	0.9059
0.1272	12.84	26000	0.3919	0.7880	0.8005	0.7942	0.9052
0.1217	13.33	27000	0.4021	0.7887	0.7981	0.7934	0.9050
0.1202	13.83	28000	0.3959	0.7845	0.8057	0.7950	0.9056
0.1175	14.32	29000	0.4066	0.7864	0.8031	0.7947	0.9052
0.115	14.81	30000	0.4057	0.7870	0.8040	0.7954	0.9056

livinNector/taNER-500-V2

taNER-500-V2