projekt_widzenie_komputerowe/runs/train/results_6/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	0.088747	0.013486	0.035328	0.48098	0.20986	0.1441	0.061546	0.064393	0.0078718	0.023488	0.070085	0.0033239	0.0033239
3	1	0.058438	0.011951	0.023984	0.5898	0.25482	0.26328	0.13231	0.060662	0.007082	0.01869	0.039425	0.0059982	0.0059982
4	2	0.053591	0.011235	0.0191	0.56778	0.24853	0.27684	0.134	0.053592	0.0072559	0.017413	0.0081064	0.0080125	0.0080125
5	3	0.050726	0.011181	0.017684	0.64627	0.28311	0.31118	0.16046	0.051076	0.0071247	0.01801	0.00703	0.00703	0.00703
6	4	0.048493	0.01088	0.015352	0.65466	0.32505	0.32784	0.1698	0.051364	0.0067966	0.015725	0.00703	0.00703	0.00703
7	5	0.045655	0.01056	0.014044	0.42375	0.41639	0.36913	0.19269	0.047876	0.0067158	0.014229	0.00604	0.00604	0.00604
8	6	0.042586	0.010138	0.011871	0.4344	0.43674	0.39772	0.2087	0.046564	0.0066062	0.01276	0.00505	0.00505	0.00505
9	7	0.039962	0.0099789	0.0098593	0.61441	0.4483	0.4848	0.2713	0.042678	0.0063287	0.011581	0.00406	0.00406	0.00406
10	8	0.03696	0.0094761	0.0089893	0.68112	0.49743	0.51699	0.28992	0.04077	0.0061885	0.010641	0.00307	0.00307	0.00307
11	9	0.0346	0.0092088	0.0075677	0.65343	0.4742	0.51803	0.29082	0.038619	0.0060215	0.0097588	0.00208	0.00208	0.00208