Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	2.0	100	0.0877	0.94	0.9533	0.9466	0.9937
No log	4.0	200	0.0244	0.972	0.9858	0.9789	0.9971
No log	6.0	300	0.0162	0.972	0.9858	0.9789	0.9971
No log	8.0	400	0.0142	0.972	0.9858	0.9789	0.9971
0.1178	10.0	500	0.0119	0.972	0.9858	0.9789	0.9971
0.1178	12.0	600	0.0122	0.972	0.9858	0.9789	0.9971
0.1178	14.0	700	0.0035	1.0	0.9980	0.9990	0.9998
0.1178	16.0	800	0.0023	1.0	1.0	1.0	1.0
0.1178	18.0	900	0.0029	0.9960	0.9980	0.9970	0.9996
0.0064	20.0	1000	0.0027	0.9960	0.9980	0.9970	0.9996
0.0064	22.0	1100	0.0020	0.9980	1.0	0.9990	0.9998
0.0064	24.0	1200	0.0022	0.9980	1.0	0.9990	0.9998
0.0064	26.0	1300	0.0013	1.0	1.0	1.0	1.0
0.0064	28.0	1400	0.0014	0.9980	1.0	0.9990	0.9998
0.0025	30.0	1500	0.0012	1.0	1.0	1.0	1.0
0.0025	32.0	1600	0.0011	1.0	1.0	1.0	1.0
0.0025	34.0	1700	0.0011	1.0	1.0	1.0	1.0
0.0025	36.0	1800	0.0010	1.0	1.0	1.0	1.0
0.0025	38.0	1900	0.0010	1.0	1.0	1.0	1.0
0.0019	40.0	2000	0.0010	1.0	1.0	1.0	1.0

PRAJWAL23/layoutlmv3-finetuned-invoice

layoutlmv3-finetuned-invoice