projekt_widzenie_komputerowe/runs/train/results_8/results.csv

1	epoch	train/box_loss	train/obj_loss	train/cls_loss	metrics/precision	metrics/recall	metrics/mAP_0.5	metrics/mAP_0.5:0.95	val/box_loss	val/obj_loss	val/cls_loss	x/lr0	x/lr1	x/lr2
2	0	0.069347	0.02614	0.031257	0.48989	0.27777	0.28012	0.15386	0.053376	0.019235	0.023568	0.070085	0.0033239	0.0033239
3	1	0.048776	0.020244	0.017335	0.36561	0.4144	0.38856	0.21573	0.047874	0.018281	0.015492	0.039425	0.0059982	0.0059982
4	2	0.043484	0.018109	0.011119	0.45173	0.49741	0.43037	0.22956	0.043897	0.017971	0.014825	0.0081064	0.0080125	0.0080125
5	3	0.03828	0.017498	0.0088776	0.61153	0.57353	0.57693	0.32726	0.040996	0.017888	0.01196	0.00703	0.00703	0.00703
6	4	0.036056	0.016835	0.0078008	0.77317	0.57956	0.63012	0.37014	0.03875	0.016991	0.0095734	0.00703	0.00703	0.00703
7	5	0.033192	0.015954	0.0065002	0.7303	0.56386	0.60915	0.37545	0.036429	0.018573	0.011016	0.00604	0.00604	0.00604
8	6	0.030798	0.015143	0.0053448	0.72521	0.64764	0.67945	0.4289	0.035101	0.016675	0.0092714	0.00505	0.00505	0.00505
9	7	0.028716	0.014587	0.0044241	0.74238	0.60477	0.66168	0.39363	0.035546	0.016748	0.0093834	0.00406	0.00406	0.00406
10	8	0.02654	0.013744	0.0036463	0.75025	0.67852	0.71584	0.45037	0.032078	0.015876	0.0081273	0.00307	0.00307	0.00307
11	9	0.024503	0.012948	0.0029252	0.80428	0.66697	0.72371	0.47146	0.03154	0.015771	0.0077915	0.00208	0.00208	0.00208