projekt_widzenie_komputerowe/runs/train/results_4/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	0.078542	0.02568	0.035032	0.74281	0.23605	0.23602	0.11138	0.058415	0.019894	0.026096	0.070085	0.0033239	0.0033239
3	1	0.052498	0.021771	0.022678	0.61487	0.35	0.33481	0.16656	0.052383	0.019588	0.020902	0.039425	0.0059982	0.0059982
4	2	0.047611	0.020013	0.016105	0.38711	0.36097	0.3337	0.17089	0.048994	0.019399	0.017263	0.0081064	0.0080125	0.0080125
5	3	0.043559	0.019648	0.012751	0.64691	0.43444	0.42968	0.22844	0.045498	0.019466	0.014561	0.00703	0.00703	0.00703
6	4	0.041165	0.018984	0.010539	0.58156	0.49039	0.49236	0.26249	0.044204	0.018673	0.013861	0.00703	0.00703	0.00703
7	5	0.038333	0.018162	0.0088667	0.57762	0.45581	0.46899	0.27385	0.04282	0.01874	0.016473	0.00604	0.00604	0.00604
8	6	0.035928	0.017525	0.007596	0.64519	0.55322	0.5943	0.32928	0.040422	0.018116	0.010035	0.00505	0.00505	0.00505
9	7	0.033772	0.016956	0.0062505	0.70005	0.59095	0.63776	0.36488	0.037801	0.01726	0.009911	0.00406	0.00406	0.00406
10	8	0.031587	0.01603	0.0052052	0.70292	0.60754	0.6441	0.37798	0.036394	0.017252	0.0098161	0.00307	0.00307	0.00307
11	9	0.029743	0.015454	0.0044488	0.76678	0.60668	0.67996	0.40603	0.034748	0.016629	0.008751	0.00208	0.00208	0.00208