le-yolo/runs/detect/train29/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	10.9915	0.32252	0.30008	0.82477	0.70044	0.61111	0.70693	0.40802	1.4156	1.82764	1.29528	0.00012	0.00012	0.00012
3	2	21.3682	0.53183	0.3616	0.91691	0.72802	0.59561	0.70432	0.41349	1.33528	1.92446	1.26227	0.000257426	0.000257426	0.000257426
4	3	31.8168	0.42738	0.31044	0.85128	0.82643	0.61111	0.66695	0.40551	1.29937	1.92941	1.24453	0.00039208	0.00039208	0.00039208
5	4	42.1957	0.37061	0.29492	0.73008	0.77904	0.61111	0.64413	0.38489	1.31936	1.98984	1.23691	0.000523962	0.000523962	0.000523962
6	5	52.9546	0.41831	0.31655	0.84052	0.85674	0.66465	0.68326	0.41733	1.30685	2.14326	1.23156	0.000653072	0.000653072	0.000653072