Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0973	1.0	46	0.1471	0.0	0.0	0.0	0.9719
0.0772	2.0	92	0.1025	0.0	0.0	0.0	0.9719
0.0387	3.0	138	0.1196	0.0	0.0	0.0	0.9619
0.0426	4.0	184	0.0856	0.0	0.0	0.0	0.9666
0.0215	5.0	230	0.1246	0.0303	0.0385	0.0339	0.9575
0.036	6.0	276	0.1876	0.0580	0.1026	0.0741	0.9404
0.008	7.0	322	0.1274	0.2360	0.2692	0.2515	0.9672
0.0062	8.0	368	0.1915	0.2857	0.5385	0.3733	0.9454
0.0042	9.0	414	0.2120	0.3185	0.6410	0.4255	0.9457
0.0105	10.0	460	0.1899	0.3154	0.6026	0.4141	0.9534
0.0103	11.0	506	0.2355	0.2917	0.6282	0.3984	0.9453
0.0047	12.0	552	0.1864	0.3561	0.6026	0.4476	0.9611
0.0246	13.0	598	0.2306	0.3268	0.6410	0.4329	0.9494
0.0008	14.0	644	0.2187	0.3357	0.6026	0.4312	0.9512
0.0007	15.0	690	0.2022	0.3582	0.6154	0.4528	0.9572
0.0108	16.0	736	0.1974	0.3664	0.6154	0.4593	0.9596
0.0005	17.0	782	0.2074	0.3478	0.6154	0.4444	0.9573
0.0008	18.0	828	0.2235	0.3333	0.6410	0.4386	0.9532
0.0006	19.0	874	0.2057	0.3228	0.5256	0.4	0.9579
0.0024	20.0	920	0.2130	0.3459	0.5897	0.4360	0.9567

nhidinh2/xlm-roberta-base-finetuned-ner-MBS-headline

xlm-roberta-base-finetuned-ner-MBS-headline