jjsos_JJdetection/runs/segment/train4/results.csv

1	epoch	time	train/box_loss	train/seg_loss	train/cls_loss	train/dfl_loss	metrics/precision(B)	metrics/recall(B)	metrics/mAP50(B)	metrics/mAP50-95(B)	metrics/precision(M)	metrics/recall(M)	metrics/mAP50(M)	metrics/mAP50-95(M)	val/box_loss	val/seg_loss	val/cls_loss	val/dfl_loss	lr/pg0	lr/pg1	lr/pg2
2	1	43.9675	1.75366	4.33813	3.77887	1.8394	0.01267	0.96721	0.1323	0.05268	0.00044	0.01639	0.00342	0.00044	1.52407	3.26463	4.24817	1.71622	0.000225	0.000225	0.000225
3	2	86.7573	1.57166	2.998	3.03397	1.61185	0.00975	0.45082	0.10504	0.03864	0.00461	0.21311	0.02653	0.00492	1.77818	2.9462	4.37771	2.06629	0.000439606	0.000439606	0.000439606
4	3	129.366	1.29674	2.72112	2.51331	1.50157	0.57534	0.19672	0.08714	0.02736	0.01491	0.18033	0.0541	0.00894	2.40584	3.16412	4.19542	2.69804	0.0006307	0.0006307	0.0006307
5	4	174.805	1.32891	2.66386	2.48681	1.48244	0.65128	0.2459	0.14611	0.06105	0.60181	0.13934	0.05406	0.01085	1.84692	2.99367	3.37768	2.14809	0.000798281	0.000798281	0.000798281
6	5	217.335	1.31316	2.66219	2.51122	1.48583	0.65032	0.2377	0.14012	0.05645	0.58551	0.11475	0.0576	0.00994	1.9049	2.75989	3.34284	2.20648	0.00094235	0.00094235	0.00094235
7	6	258.644	1.23402	2.5945	2.30114	1.42363	0.68887	0.18852	0.17492	0.07597	0.60673	0.18033	0.08352	0.01191	1.79846	2.35927	3.47723	2.23347	0.000940625	0.000940625	0.000940625
8	7	300.551	1.25717	2.50218	2.15085	1.39	0.69517	0.33607	0.27699	0.13502	0.64979	0.21739	0.12236	0.0222	1.59676	2.25982	3.57374	1.89695	0.00087875	0.00087875	0.00087875
9	8	342.847	1.23658	2.52558	2.11511	1.36852	0.20184	0.93443	0.38343	0.18351	0.17295	0.81967	0.28127	0.06016	1.58707	2.23911	3.09527	1.89476	0.000816875	0.000816875	0.000816875
10	9	385.164	1.16787	2.3715	2.01718	1.35309	0.57234	0.90984	0.78818	0.42053	0.53784	0.81148	0.7214	0.20012	1.49698	2.05934	2.94061	1.81924	0.000755	0.000755	0.000755
11	10	426.63	1.14287	2.19849	2.02504	1.3282	0.62871	0.81148	0.74295	0.41477	0.54252	0.67213	0.59947	0.16795	1.65465	2.40676	2.93861	1.94441	0.000693125	0.000693125	0.000693125
12	11	467.804	1.19166	1.98444	2.67976	1.51278	0.38889	0.89344	0.78994	0.40618	0.64045	0.09016	0.0542	0.0076	1.47784	2.94341	2.5722	1.76297	0.00063125	0.00063125	0.00063125
13	12	508.727	1.10016	1.89102	2.48586	1.45077	0.81176	0.28511	0.4699	0.27595	0.7042	0.18675	0.14641	0.03326	1.30151	2.34385	2.50938	1.58451	0.000569375	0.000569375	0.000569375
14	13	549.734	0.96941	1.8258	2.10778	1.34095	0.83866	0.32787	0.50766	0.27047	0.7712	0.26233	0.23689	0.05343	1.30219	2.07661	2.54463	1.66533	0.0005075	0.0005075	0.0005075
15	14	590.623	0.95537	1.81834	1.98483	1.30742	0.84551	0.34835	0.43714	0.23615	0.81399	0.30328	0.25609	0.06345	1.34566	2.04746	2.38715	1.71453	0.000445625	0.000445625	0.000445625
16	15	631.64	0.8665	1.78702	1.98954	1.20686	0.85057	0.34616	0.39708	0.23973	0.76831	0.2541	0.22208	0.05262	1.29906	2.11207	2.30516	1.62912	0.00038375	0.00038375	0.00038375
17	16	672.464	0.90098	1.67758	1.96862	1.25751	0.87884	0.36066	0.43763	0.2718	0.80987	0.28689	0.26774	0.06154	1.21769	2.07236	2.21017	1.50024	0.000321875	0.000321875	0.000321875
18	17	713.27	0.83401	1.70507	1.77899	1.16905	0.85976	0.37851	0.46015	0.28384	0.83211	0.29508	0.29811	0.07363	1.108	1.98104	2.0836	1.39686	0.00026	0.00026	0.00026
19	18	755.645	0.88826	1.67315	1.79754	1.24679	0.87949	0.37705	0.50567	0.3028	0.81439	0.31148	0.28523	0.06463	1.13978	2.01664	2.01646	1.40305	0.000198125	0.000198125	0.000198125
20	19	799.652	0.77938	1.66936	1.69061	1.14208	0.90025	0.34426	0.50634	0.32174	0.8703	0.31967	0.42983	0.09787	1.10367	1.85029	1.96951	1.38494	0.00013625	0.00013625	0.00013625
21	20	1750.71	0.71979	1.60554	1.61174	1.09175	0.31913	0.73342	0.66233	0.40266	0.30128	0.69084	0.60405	0.18345	1.08477	1.74864	1.90761	1.37121	7.4375e-05	7.4375e-05	7.4375e-05