Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	2.0	100	0.1069	0.946	0.9594	0.9527	0.9943
No log	4.0	200	0.0229	0.972	0.9858	0.9789	0.9971
No log	6.0	300	0.0158	0.972	0.9858	0.9789	0.9971
No log	8.0	400	0.0113	0.972	0.9858	0.9789	0.9971
0.1416	10.0	500	0.0103	0.9800	0.9919	0.9859	0.9979
0.1416	12.0	600	0.0047	0.9980	0.9959	0.9970	0.9996
0.1416	14.0	700	0.0035	0.9939	0.9959	0.9949	0.9994
0.1416	16.0	800	0.0044	0.9980	0.9959	0.9970	0.9996
0.1416	18.0	900	0.0027	0.9980	0.9959	0.9970	0.9996
0.0049	20.0	1000	0.0019	0.9980	0.9980	0.9980	0.9998
0.0049	22.0	1100	0.0017	1.0	1.0	1.0	1.0
0.0049	24.0	1200	0.0041	0.9960	0.9980	0.9970	0.9996
0.0049	26.0	1300	0.0033	0.9960	0.9980	0.9970	0.9996
0.0049	28.0	1400	0.0029	0.9960	0.9980	0.9970	0.9996
0.0029	30.0	1500	0.0018	0.9960	0.9980	0.9970	0.9996
0.0029	32.0	1600	0.0019	0.9960	0.9980	0.9970	0.9996
0.0029	34.0	1700	0.0016	0.9980	0.9980	0.9980	0.9998
0.0029	36.0	1800	0.0017	0.9980	0.9980	0.9980	0.9998
0.0029	38.0	1900	0.0018	0.9980	0.9980	0.9980	0.9998
0.0019	40.0	2000	0.0014	0.9980	0.9980	0.9980	0.9998

krushal/layoutlmv3-finetuned-invoice

layoutlmv3-finetuned-invoice