19_YOLOv5/runs/train-cls/dduk_cls3/results.csv

1	epoch	train/loss	val/loss	metrics/accuracy_top1	metrics/accuracy_top5	lr/0
2	0	0.76833	0.88951	0.81386	1	0.00098763
3	1	0.56961	0.76173	0.8272	1	0.00097525
4	2	0.52156	0.75181	0.84346	1	0.00096288
5	3	0.50394	0.73263	0.85304	1	0.0009505
6	4	0.49153	0.75253	0.85167	1	0.00093813
7	5	0.48479	0.71112	0.85783	1	0.00092575
8	6	0.47884	0.78273	0.8296	1	0.00091337
9	7	0.47331	0.71544	0.85697	1	0.000901
10	8	0.46737	0.76133	0.82173	1	0.00088862
11	9	0.46363	0.71349	0.86125	1	0.00087625
12	10	0.46036	0.74129	0.84927	1	0.00086388
13	11	0.46043	0.70623	0.85321	1	0.0008515
14	12	0.45487	0.73228	0.84175	1	0.00083913
15	13	0.45247	0.75296	0.84192	1	0.00082675
16	14	0.4525	0.73755	0.83011	1	0.00081437
17	15	0.44834	0.68267	0.87169	1	0.000802
18	16	0.44707	0.72935	0.83165	1	0.00078963
19	17	0.44355	0.73995	0.83285	1	0.00077725
20	18	0.44291	0.7031	0.85817	1	0.00076488
21	19	0.44263	0.70539	0.85663	1	0.0007525
22	20	0.44351	0.69666	0.85543	1	0.00074013
23	21	0.43801	0.68528	0.8645	1	0.00072775
24	22	0.44098	0.73154	0.84808	1	0.00071537
25	23	0.43726	0.7072	0.8556	1	0.000703
26	24	0.43937	0.71911	0.84842	1	0.00069063
27	25	0.43528	0.6947	0.85081	1	0.00067825
28	26	0.43546	0.71886	0.85252	1	0.00066588
29	27	0.43499	0.69865	0.85406	1	0.0006535
30	28	0.43395	0.68224	0.86313	1	0.00064112
31	29	0.43236	0.68289	0.86262	1	0.00062875
32	30	0.43158	0.73109	0.84893	1	0.00061638
33	31	0.43218	0.69988	0.86159	1	0.000604
34	32	0.43354	0.70973	0.85577	1	0.00059163
35	33	0.42806	0.71899	0.84842	1	0.00057925
36	34	0.42888	0.68793	0.86518	1	0.00056687
37	35	0.43093	0.67981	0.86792	1	0.0005545
38	36	0.42497	0.67168	0.87032	1	0.00054212
39	37	0.42323	0.72155	0.85064	1	0.00052975
40	38	0.42387	0.72693	0.8426	1	0.00051737
41	39	0.42333	0.68789	0.85885	1	0.000505
42	40	0.42672	0.68061	0.86484	1	0.00049263
43	41	0.42602	0.71904	0.8426	1	0.00048025
44	42	0.42367	0.67061	0.86672	1	0.00046788
45	43	0.42397	0.69298	0.86245	1	0.0004555
46	44	0.42405	0.69577	0.85868	1	0.00044312
47	45	0.42383	0.70744	0.84927	1	0.00043075
48	46	0.42419	0.71168	0.85543	1	0.00041838
49	47	0.42105	0.70456	0.84996	1	0.000406
50	48	0.42149	0.71426	0.85064	1	0.00039362
51	49	0.4207	0.72387	0.84979	1	0.00038125
52	50	0.41919	0.68517	0.86501	1	0.00036888
53	51	0.41588	0.68697	0.858	1	0.0003565
54	52	0.41676	0.67847	0.87066	1	0.00034413
55	53	0.41357	0.68348	0.8698	1	0.00033175
56	54	0.41561	0.6747	0.87117	1	0.00031938
57	55	0.41378	0.68828	0.85577	1	0.000307
58	56	0.41204	0.68438	0.85954	1	0.00029462
59	57	0.41022	0.69516	0.86587	1	0.00028225
60	58	0.41145	0.68544	0.86313	1	0.00026987
61	59	0.41068	0.70406	0.85595	1	0.0002575
62	60	0.41089	0.70139	0.85577	1	0.00024513
63	61	0.40866	0.69262	0.85954	1	0.00023275
64	62	0.40811	0.699	0.85749	1	0.00022038
65	63	0.40757	0.67834	0.86536	1	0.000208
66	64	0.40896	0.69648	0.85201	1	0.00019562
67	65	0.40856	0.71111	0.85047	1	0.00018325
68	66	0.40829	0.68339	0.86724	1	0.00017087
69	67	0.40592	0.70005	0.85184	1	0.0001585
70	68	0.4078	0.71784	0.84551	1	0.00014612
71	69	0.40634	0.69866	0.85406	1	0.00013375
72	70	0.4051	0.69982	0.85201	1	0.00012138
73	71	0.40516	0.68997	0.85834	1	0.000109
74	72	0.40603	0.69182	0.85629	1	9.6625e-05
75	73	0.40428	0.68093	0.86262	1	8.425e-05
76	74	0.40516	0.68302	0.85868	1	7.1875e-05
77	75	0.40422	0.6931	0.85612	1	5.95e-05
78	76	0.40299	0.68952	0.86005	1	4.7125e-05
79	77	0.40328	0.68088	0.85766	1	3.475e-05
80	78	0.40284	0.67786	0.86159	1	2.2375e-05
81	79	0.40196	0.68056	0.86159	1	1e-05