longcw / yolo2-pytorch

YOLOv2 in PyTorch
1.54k stars 421 forks source link

train class loss is always around 0.999? #48

Open Sander-houqi opened 6 years ago

Sander-houqi commented 6 years ago

emm, I have question about train cls_loss ,when I train on my own data ,the class loss can't down in 0.999,I check my data, and even change the learnning rate , but is not work, could you give me some advise? Thank you very much.

epoch 0[1/1665], loss: 55.147, bbox_loss: 0.736, iou_loss: 53.411, cls_loss: 0.999 (25.21 s/batch, rest:11:39:05) , load data: 18.786 epoch 0[11/1665], loss: 20.966, bbox_loss: 0.339, iou_loss: 19.628, cls_loss: 0.999 (3.45 s/batch, rest:1:34:58) , load data: 0.177 epoch 0[21/1665], loss: 3.289, bbox_loss: 0.270, iou_loss: 2.020, cls_loss: 0.999 (4.04 s/batch, rest:1:50:39) , load data: 0.110 epoch 0[31/1665], loss: 2.860, bbox_loss: 0.230, iou_loss: 1.641, cls_loss: 0.990 (3.96 s/batch, rest:1:47:47) , load data: 4.147 epoch 0[41/1665], loss: 2.507, bbox_loss: 0.203, iou_loss: 1.305, cls_loss: 0.999 (4.80 s/batch, rest:2:09:56) , load data: 2.297 epoch 0[51/1665], loss: 2.242, bbox_loss: 0.201, iou_loss: 1.042, cls_loss: 0.999 (4.88 s/batch, rest:2:11:17) , load data: 0.082 epoch 0[61/1665], loss: 2.071, bbox_loss: 0.192, iou_loss: 0.880, cls_loss: 0.999 (3.81 s/batch, rest:1:41:55) , load data: 0.070 epoch 0[71/1665], loss: 2.177, bbox_loss: 0.179, iou_loss: 0.999, cls_loss: 0.999 (3.75 s/batch, rest:1:39:43) , load data: 3.230 epoch 0[81/1665], loss: 1.967, bbox_loss: 0.148, iou_loss: 0.819, cls_loss: 0.999 (6.42 s/batch, rest:2:49:34) , load data: 0.141 epoch 0[91/1665], loss: 2.064, bbox_loss: 0.172, iou_loss: 0.893, cls_loss: 0.999 (3.82 s/batch, rest:1:40:12) , load data: 0.124 epoch 0[101/1665], loss: 1.991, bbox_loss: 0.154, iou_loss: 0.838, cls_loss: 0.999 (3.38 s/batch, rest:1:28:13) , load data: 0.221 epoch 0[111/1665], loss: 1.915, bbox_loss: 0.180, iou_loss: 0.736, cls_loss: 0.999 (4.16 s/batch, rest:1:47:37) , load data: 0.123 epoch 0[121/1665], loss: 1.969, bbox_loss: 0.178, iou_loss: 0.792, cls_loss: 0.999 (3.31 s/batch, rest:1:25:13) , load data: 0.089 epoch 0[131/1665], loss: 1.880, bbox_loss: 0.152, iou_loss: 0.729, cls_loss: 0.999 (4.10 s/batch, rest:1:44:56) , load data: 0.147 epoch 0[141/1665], loss: 1.845, bbox_loss: 0.147, iou_loss: 0.700, cls_loss: 0.999 (3.48 s/batch, rest:1:28:20) , load data: 2.927 epoch 0[151/1665], loss: 1.721, bbox_loss: 0.175, iou_loss: 0.556, cls_loss: 0.990 (4.85 s/batch, rest:2:02:28) , load data: 0.217

Sedss commented 5 years ago

@Sander-houqi What is your configuration environment in your system?Can you tell me?Thank you.