Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0946	0.06	10000	0.0974	0.5971	0.6368	0.6163	0.9612
0.0935	0.12	20000	0.0892	0.6258	0.6633	0.6440	0.9652
0.0829	0.17	30000	0.0913	0.6393	0.6557	0.6474	0.9653
0.086	0.23	40000	0.0829	0.6868	0.6131	0.6478	0.9679
0.0836	0.29	50000	0.0806	0.6450	0.7019	0.6722	0.9673
0.0813	0.35	60000	0.0784	0.6718	0.6823	0.6770	0.9694
0.0756	0.41	70000	0.0771	0.6559	0.7217	0.6872	0.9696
0.0753	0.47	80000	0.0733	0.6944	0.6660	0.6799	0.9706
0.0716	0.52	90000	0.0781	0.6698	0.7151	0.6917	0.9704
0.0785	0.58	100000	0.0723	0.6936	0.6960	0.6948	0.9714
0.0707	0.64	110000	0.0729	0.6943	0.7098	0.7020	0.9718
0.0699	0.7	120000	0.0714	0.6928	0.7200	0.7061	0.9717
0.0729	0.76	130000	0.0715	0.6887	0.7305	0.7090	0.9722
0.0696	0.82	140000	0.0703	0.6826	0.7479	0.7137	0.9722
0.0654	0.87	150000	0.0697	0.6851	0.7500	0.7161	0.9727
0.0636	0.93	160000	0.0684	0.6968	0.7410	0.7183	0.9731
0.0641	0.99	170000	0.0679	0.7047	0.7315	0.7179	0.9734

henda/bert-multilingual-ner

bert-multilingual-ner