le-yolo/runs/detect/train40/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	17.6253	1.58673	4.02966	1.4629	0.00306	0.95745	0.25147	0.21701	0.59831	3.4472	0.93484	0.00016	0.00016	0.00016
3	2	34.157	0.97453	2.5837	1.00845	1	0.29022	0.93511	0.7284	0.72794	2.90934	0.85501	0.000336634	0.000336634	0.000336634
4	3	50.8526	0.84409	2.14524	0.93347	0.01141	0.97872	0.95462	0.65143	0.72545	2.96458	0.86384	0.000509704	0.000509704	0.000509704
5	4	68.8891	0.92823	1.93303	0.99896	1	0.17404	0.8576	0.66888	0.93772	3.1365	0.99018	0.00067921	0.00067921	0.00067921
6	5	88.2008	0.86695	1.72383	0.99086	1	0.14981	0.89164	0.65259	0.85707	3.08949	0.94664	0.000845152	0.000845152	0.000845152