le-yolo/runs/detect/train43/results.csv

1	epoch	time	train/box_loss	train/cls_loss	train/dfl_loss	metrics/precision(B)	metrics/recall(B)	metrics/mAP50(B)	metrics/mAP50-95(B)	val/box_loss	val/cls_loss	val/dfl_loss	lr/pg0	lr/pg1	lr/pg2
2	1	24.3756	1.21014	3.1702	1.19727	0.00313	0.97872	0.79623	0.64322	0.52877	3.00181	0.80078	0.00026	0.00026	0.00026
3	2	48.2621	0.81396	2.37685	0.8738	0.00313	0.97872	0.91786	0.75913	0.59196	2.94612	0.82206	0.000534654	0.000534654	0.000534654
4	3	73.8232	0.90479	1.60795	0.97833	1	0.22824	0.93879	0.66689	0.75898	2.86271	0.91755	0.000803764	0.000803764	0.000803764
5	4	97.3313	0.8895	1.99802	0.91206	0.93431	0.30285	0.74521	0.55539	1.24471	3.01773	1.14351	0.00106733	0.00106733	0.00106733
6	5	120.563	1.04688	1.71324	1.04767	1	0.24535	0.84327	0.51189	1.29624	2.99114	1.2371	0.00132535	0.00132535	0.00132535
7	6	144.566	1.01511	1.47643	1.01558	0.58375	0.55319	0.61104	0.35898	1.30424	2.7948	1.37665	0.00157783	0.00157783	0.00157783
8	7	167.911	0.9864	1.49348	1.04347	0.44618	0.4972	0.5101	0.32791	1.17259	2.53619	1.17558	0.00182476	0.00182476	0.00182476
9	8	191.533	0.95161	1.72087	0.96641	0.35612	0.3617	0.35199	0.21519	1.13552	2.86189	1.32933	0.0018614	0.0018614	0.0018614
10	9	214.965	0.88668	1.27559	1.01199	0.94045	0.85106	0.92187	0.71277	0.93981	2.32268	1.10274	0.0018416	0.0018416	0.0018416