Hello, I train the Track2 Single-modal with my dataset which include 5000+ real and 5000+ fake pics. The epoch is 60, and train log as follow:
Oulu-NPU, P1:
train from scratch!
epoch:1, Train: Absolute_Depth_loss= 0.2492, Contrastive_Depth_loss= 0.0112
epoch:2, Train: Absolute_Depth_loss= 0.1995, Contrastive_Depth_loss= 0.0083
epoch:3, Train: Absolute_Depth_loss= 0.1734, Contrastive_Depth_loss= 0.0087
epoch:4, Train: Absolute_Depth_loss= 0.1561, Contrastive_Depth_loss= 0.0088
epoch:5, Train: Absolute_Depth_loss= 0.1435, Contrastive_Depth_loss= 0.0089
epoch:6, Train: Absolute_Depth_loss= 0.1334, Contrastive_Depth_loss= 0.0089
epoch:7, Train: Absolute_Depth_loss= 0.1266, Contrastive_Depth_loss= 0.0090
epoch:8, Train: Absolute_Depth_loss= 0.1210, Contrastive_Depth_loss= 0.0091
epoch:9, Train: Absolute_Depth_loss= 0.1133, Contrastive_Depth_loss= 0.0090
epoch:10, Train: Absolute_Depth_loss= 0.1085, Contrastive_Depth_loss= 0.0091
epoch:11, Train: Absolute_Depth_loss= 0.1039, Contrastive_Depth_loss= 0.0092
epoch:12, Train: Absolute_Depth_loss= 0.0988, Contrastive_Depth_loss= 0.0092
epoch:13, Train: Absolute_Depth_loss= 0.0939, Contrastive_Depth_loss= 0.0092
epoch:14, Train: Absolute_Depth_loss= 0.0907, Contrastive_Depth_loss= 0.0091
epoch:15, Train: Absolute_Depth_loss= 0.0875, Contrastive_Depth_loss= 0.0092
epoch:16, Train: Absolute_Depth_loss= 0.0833, Contrastive_Depth_loss= 0.0091
epoch:17, Train: Absolute_Depth_loss= 0.0810, Contrastive_Depth_loss= 0.0091
epoch:18, Train: Absolute_Depth_loss= 0.0791, Contrastive_Depth_loss= 0.0090
epoch:19, Train: Absolute_Depth_loss= 0.0768, Contrastive_Depth_loss= 0.0090
epoch:20, Train: Absolute_Depth_loss= 0.0622, Contrastive_Depth_loss= 0.0084
epoch:21, Train: Absolute_Depth_loss= 0.0591, Contrastive_Depth_loss= 0.0085
epoch:22, Train: Absolute_Depth_loss= 0.0562, Contrastive_Depth_loss= 0.0084
epoch:23, Train: Absolute_Depth_loss= 0.0543, Contrastive_Depth_loss= 0.0085
epoch:24, Train: Absolute_Depth_loss= 0.0532, Contrastive_Depth_loss= 0.0084
epoch:25, Train: Absolute_Depth_loss= 0.0511, Contrastive_Depth_loss= 0.0083
epoch:26, Train: Absolute_Depth_loss= 0.0497, Contrastive_Depth_loss= 0.0083
epoch:27, Train: Absolute_Depth_loss= 0.0486, Contrastive_Depth_loss= 0.0083
epoch:28, Train: Absolute_Depth_loss= 0.0465, Contrastive_Depth_loss= 0.0082
epoch:29, Train: Absolute_Depth_loss= 0.0455, Contrastive_Depth_loss= 0.0082
epoch:30, Train: Absolute_Depth_loss= 0.0445, Contrastive_Depth_loss= 0.0081
epoch:31, Train: Absolute_Depth_loss= 0.0441, Contrastive_Depth_loss= 0.0082
epoch:32, Train: Absolute_Depth_loss= 0.0424, Contrastive_Depth_loss= 0.0081
epoch:33, Train: Absolute_Depth_loss= 0.0413, Contrastive_Depth_loss= 0.0080
epoch:34, Train: Absolute_Depth_loss= 0.0416, Contrastive_Depth_loss= 0.0080
epoch:35, Train: Absolute_Depth_loss= 0.0401, Contrastive_Depth_loss= 0.0079
epoch:36, Train: Absolute_Depth_loss= 0.0396, Contrastive_Depth_loss= 0.0080
epoch:37, Train: Absolute_Depth_loss= 0.0391, Contrastive_Depth_loss= 0.0079
epoch:38, Train: Absolute_Depth_loss= 0.0389, Contrastive_Depth_loss= 0.0079
epoch:39, Train: Absolute_Depth_loss= 0.0355, Contrastive_Depth_loss= 0.0077
epoch:40, Train: Absolute_Depth_loss= 0.0307, Contrastive_Depth_loss= 0.0073
epoch:41, Train: Absolute_Depth_loss= 0.0298, Contrastive_Depth_loss= 0.0072
epoch:42, Train: Absolute_Depth_loss= 0.0289, Contrastive_Depth_loss= 0.0072
epoch:43, Train: Absolute_Depth_loss= 0.0286, Contrastive_Depth_loss= 0.0071
epoch:44, Train: Absolute_Depth_loss= 0.0278, Contrastive_Depth_loss= 0.0071
epoch:45, Train: Absolute_Depth_loss= 0.0266, Contrastive_Depth_loss= 0.0070
epoch:46, Train: Absolute_Depth_loss= 0.0269, Contrastive_Depth_loss= 0.0070
epoch:47, Train: Absolute_Depth_loss= 0.0264, Contrastive_Depth_loss= 0.0070
epoch:48, Train: Absolute_Depth_loss= 0.0266, Contrastive_Depth_loss= 0.0070
epoch:49, Train: Absolute_Depth_loss= 0.0250, Contrastive_Depth_loss= 0.0069
epoch:50, Train: Absolute_Depth_loss= 0.0258, Contrastive_Depth_loss= 0.0070
epoch:51, Train: Absolute_Depth_loss= 0.0245, Contrastive_Depth_loss= 0.0068
epoch:52, Train: Absolute_Depth_loss= 0.0237, Contrastive_Depth_loss= 0.0067
epoch:53, Train: Absolute_Depth_loss= 0.0241, Contrastive_Depth_loss= 0.0069
epoch:54, Train: Absolute_Depth_loss= 0.0233, Contrastive_Depth_loss= 0.0068
epoch:55, Train: Absolute_Depth_loss= 0.0236, Contrastive_Depth_loss= 0.0067
epoch:56, Train: Absolute_Depth_loss= 0.0228, Contrastive_Depth_loss= 0.0067
epoch:57, Train: Absolute_Depth_loss= 0.0226, Contrastive_Depth_loss= 0.0067
epoch:58, Train: Absolute_Depth_loss= 0.0218, Contrastive_Depth_loss= 0.0066
epoch:59, Train: Absolute_Depth_loss= 0.0216, Contrastive_Depth_loss= 0.0066
epoch:60, Train: Absolute_Depth_loss= 0.0193, Contrastive_Depth_loss= 0.0063
when I use the saved model file to test. I find some images perform poorly, Fake img is recongize to real. The accuracy about 24%. Is there overfitting? or another reason?
Another question, the pics which use to train is raw image or crop face? Is there any difference between them?
Thank you very much.