Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Recall	Precision
0.0254	0.2048	128	0.0148	0.9946	0.9946	0.9946	0.9946
0.0256	0.4096	256	0.0180	0.9945	0.9944	0.9945	0.9945
0.0113	0.6144	384	0.0133	0.9955	0.9955	0.9955	0.9955
0.0116	0.8192	512	0.0070	0.9976	0.9976	0.9976	0.9976
0.0084	1.024	640	0.0072	0.9976	0.9976	0.9976	0.9976
0.0048	1.2288	768	0.0084	0.9976	0.9976	0.9976	0.9976
0.0041	1.4336	896	0.0078	0.9975	0.9975	0.9975	0.9975
0.0015	1.6384	1024	0.0049	0.9983	0.9983	0.9983	0.9983
0.0047	1.8432	1152	0.0068	0.9977	0.9977	0.9977	0.9977
0.0012	2.048	1280	0.0075	0.9975	0.9975	0.9975	0.9975
0.0025	2.2528	1408	0.0095	0.9971	0.9971	0.9971	0.9971
0.0013	2.4576	1536	0.0084	0.9976	0.9976	0.9976	0.9976
0.0026	2.6624	1664	0.0056	0.9985	0.9985	0.9985	0.9985
0.0001	2.8672	1792	0.0096	0.9976	0.9976	0.9976	0.9976
0.0001	3.072	1920	0.0049	0.9987	0.9987	0.9987	0.9987
0.0009	3.2768	2048	0.0085	0.9978	0.9978	0.9978	0.9978
0.0003	3.4816	2176	0.0078	0.9980	0.9980	0.9980	0.9980
0.0002	3.6864	2304	0.0057	0.9985	0.9985	0.9985	0.9985
0.0	3.8912	2432	0.0043	0.9988	0.9988	0.9988	0.9988
0.0	4.096	2560	0.0046	0.9987	0.9987	0.9987	0.9987
0.0	4.3008	2688	0.0045	0.9988	0.9988	0.9988	0.9988
0.0	4.5056	2816	0.0046	0.9988	0.9988	0.9988	0.9988
0.0	4.7104	2944	0.0047	0.9988	0.9988	0.9988	0.9988
0.0	4.9152	3072	0.0047	0.9988	0.9988	0.9988	0.9988

nguyenkhoa/vit_Liveness_detection_v1.0

vit_Liveness_detection_v1.0