Pytorch_CNN-RNN/cnn_net_data.csv

,Epoch,Avg_loss,Time,Val_loss
0,1.0,0.5493318528226279,63.193450927734375,0.6318140625953674
1,2.0,0.5052056489060226,126.88481521606445,0.615243136882782
2,3.0,0.5018373664143017,191.29927468299866,0.5647260546684265
3,4.0,0.48469717265332785,256.35769629478455,0.7602677941322327
4,5.0,0.49741162923933235,321.498055934906,0.5531934499740601
5,6.0,0.4794707558687451,386.7943546772003,0.5435163974761963
6,7.0,0.48868317627212376,452.08525347709656,0.6170985102653503
7,8.0,0.4829676952755567,517.441656589508,0.5604787468910217
8,9.0,0.5030312086771993,582.736382484436,0.7099340558052063
9,10.0,0.4912947150110041,647.9085173606873,0.5861038565635681
10,11.0,0.4996078980779185,712.9769625663757,0.6088337898254395
11,12.0,0.4908207041545979,778.0235903263092,0.6034520268440247
12,13.0,0.4944904490003308,843.1272113323212,0.7052374482154846
13,14.0,0.4979538926221792,908.1915690898895,0.5868995785713196
14,15.0,0.48077325710972535,973.2567093372345,0.6026476621627808
15,16.0,0.495152342956043,1038.3403534889221,0.6178974509239197
16,17.0,0.48088199594645825,1103.4229621887207,0.5096692442893982
17,18.0,0.48285331656631914,1168.5112218856812,0.5497284531593323
18,19.0,0.48006295116202347,1233.6090314388275,0.5811787247657776
19,20.0,0.47963200437212455,1298.728411436081,0.6435700058937073