projekt_widzenie_komputerowe/runs/train/results_7/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	0.074498	0.020847	0.032067	0.75428	0.22348	0.25689	0.13497	0.055433	0.015301	0.023689	0.070085	0.0033239	0.0033239
3	1	0.051145	0.017354	0.019695	0.4091	0.39594	0.38807	0.21163	0.048864	0.014006	0.017083	0.039425	0.0059982	0.0059982
4	2	0.046066	0.01567	0.013473	0.69122	0.37805	0.40579	0.21571	0.047747	0.014243	0.016765	0.0081064	0.0080125	0.0080125
5	3	0.041101	0.015213	0.011109	0.64602	0.50087	0.52603	0.2835	0.044736	0.013588	0.013264	0.00703	0.00703	0.00703
6	4	0.038934	0.014793	0.009597	0.7379	0.52402	0.56409	0.33132	0.042318	0.013249	0.011311	0.00703	0.00703	0.00703
7	5	0.035945	0.013984	0.0079636	0.63181	0.54416	0.54514	0.31192	0.039803	0.012871	0.010107	0.00604	0.00604	0.00604
8	6	0.033565	0.013347	0.0069709	0.68802	0.55658	0.6004	0.34142	0.037006	0.012789	0.0093024	0.00505	0.00505	0.00505
9	7	0.031161	0.012741	0.0055128	0.75912	0.5722	0.64561	0.38051	0.037048	0.012647	0.0089898	0.00406	0.00406	0.00406
10	8	0.028813	0.012143	0.0049633	0.71432	0.62543	0.65067	0.39142	0.034818	0.012236	0.0083539	0.00307	0.00307	0.00307
11	9	0.026723	0.011531	0.0040393	0.7773	0.64868	0.70057	0.43678	0.033089	0.011777	0.0080895	0.00208	0.00208	0.00208