models/yolov11/runs/detect/train2/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	6.86948	0.70939	1.05707	1.14039	0.02628	0.21667	0.08764	0.05376	2.11971	4.98083	2.04794	0	0	0
3	2	11.0357	0.67899	1.18625	1.09058	0.05949	0.3	0.12129	0.05636	2.05773	4.70166	2.00079	1.07219e-06	1.07219e-06	1.07219e-06
4	3	14.7562	0.90865	1.26633	1.20842	0.06927	0.56667	0.13907	0.06017	1.97415	4.37446	1.95573	1.90876e-06	1.90876e-06	1.90876e-06
5	4	18.1024	0.74725	0.99608	1.08456	0.06112	0.56667	0.24832	0.08509	1.9214	4.18075	1.89617	2.50971e-06	2.50971e-06	2.50971e-06
6	5	21.4479	0.70276	1.00317	1.09192	0.14125	0.36109	0.2597	0.18404	1.90686	3.91017	1.86089	2.87504e-06	2.87504e-06	2.87504e-06
7	6	24.8385	0.79145	0.81997	1.07367	0.54119	0.24116	0.26546	0.18547	1.92964	3.65661	1.84599	3.00475e-06	3.00475e-06	3.00475e-06
8	7	28.4703	0.89764	1.04108	1.21462	0.52741	0.32658	0.27542	0.18197	1.83827	3.44983	1.72672	2.89884e-06	2.89884e-06	2.89884e-06
9	8	31.9447	0.94011	0.94038	1.21287	0.54095	0.34005	0.29672	0.20452	1.78655	3.25106	1.70385	2.55731e-06	2.55731e-06	2.55731e-06
10	9	35.7747	0.83725	0.83766	1.22182	0.55701	0.35369	0.31601	0.22002	1.69535	3.09446	1.59676	1.98016e-06	1.98016e-06	1.98016e-06
11	10	40.787	0.81827	0.87845	1.09094	0.56054	0.36667	0.32583	0.24564	1.63002	2.96068	1.54419	1.16739e-06	1.16739e-06	1.16739e-06