projekt_widzenie_komputerowe/runs/train/results_3/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	0.084574	0.020132	0.035698	0.48087	0.22452	0.22325	0.10901	0.060934	0.01588	0.025968	0.070085	0.0033239	0.0033239
3	1	0.056059	0.018437	0.024198	0.54066	0.26521	0.3123	0.17168	0.052825	0.014783	0.021491	0.039425	0.0059982	0.0059982
4	2	0.050859	0.016925	0.019594	0.67609	0.30748	0.34502	0.16825	0.051766	0.014737	0.018702	0.0081064	0.0080125	0.0080125
5	3	0.046762	0.016753	0.015399	0.50219	0.4334	0.43979	0.22872	0.047696	0.014186	0.01638	0.00703	0.00703	0.00703
6	4	0.04474	0.016423	0.013035	0.54237	0.45423	0.47537	0.24834	0.046939	0.014413	0.013866	0.00703	0.00703	0.00703
7	5	0.041912	0.015774	0.011253	0.4832	0.51201	0.45422	0.24426	0.045174	0.014024	0.015313	0.00604	0.00604	0.00604
8	6	0.039236	0.01527	0.0096607	0.57824	0.50901	0.50279	0.28417	0.042745	0.013987	0.012881	0.00505	0.00505	0.00505
9	7	0.037107	0.014786	0.0081398	0.66669	0.52358	0.56147	0.32199	0.041162	0.013688	0.011917	0.00406	0.00406	0.00406
10	8	0.034843	0.014237	0.007172	0.67894	0.55268	0.60193	0.34292	0.039691	0.012839	0.0096556	0.00307	0.00307	0.00307
11	9	0.032906	0.013823	0.0060825	0.66232	0.55073	0.60221	0.34825	0.03849	0.012679	0.009747	0.00208	0.00208	0.00208