projekt_widzenie_komputerowe/runs/train/results_2/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	0.098228	0.012357	0.036802	0.62232	0.13214	0.089418	0.031717	0.069472	0.0084662	0.026016	0.070085	0.0033239	0.0033239
3	1	0.064986	0.012415	0.026262	0.47876	0.20632	0.20372	0.093663	0.06131	0.0074715	0.020762	0.039425	0.0059982	0.0059982
4	2	0.059795	0.011698	0.023483	0.78277	0.23639	0.25321	0.12511	0.057626	0.0075234	0.019741	0.0081064	0.0080125	0.0080125
5	3	0.056145	0.011598	0.021579	0.60885	0.22664	0.25942	0.121	0.05491	0.0073363	0.018609	0.00703	0.00703	0.00703
6	4	0.054804	0.011486	0.019281	0.38738	0.26263	0.27304	0.13919	0.056767	0.0073017	0.017728	0.00703	0.00703	0.00703
7	5	0.051905	0.011198	0.017605	0.36187	0.29068	0.28888	0.13626	0.052654	0.0071156	0.016426	0.00604	0.00604	0.00604
8	6	0.04872	0.010922	0.014859	0.45057	0.294	0.33001	0.17172	0.049964	0.0068282	0.014044	0.00505	0.00505	0.00505
9	7	0.046367	0.010882	0.013431	0.44414	0.31033	0.34637	0.17963	0.048657	0.0068655	0.013022	0.00406	0.00406	0.00406
10	8	0.043878	0.010567	0.012109	0.44949	0.36892	0.36669	0.1957	0.046189	0.0066921	0.012831	0.00307	0.00307	0.00307
11	9	0.042023	0.010427	0.01088	0.52229	0.41697	0.40722	0.21311	0.0449	0.0065999	0.011437	0.00208	0.00208	0.00208