DUTS SOD accuracy and loss values

[anilsathyan7]

I trained the model with duts dataset for 100 epochs(default) but the loss and accuracy seems to be low:-

INFO:root:AIM-Epoch[100/100](1/660) Lr:0.00010000 Loss:0.82403 Global:0.66851 Local:0.11801 Fusion-alpha:0.03752 Speed:4.63853s/iter Exa(h:m:s):00:50:56
INFO:root:AIM-Epoch[100/100](2/660) Lr:0.00010000 Loss:0.83574 Global:0.67843 Local:0.10950 Fusion-alpha:0.04781 Speed:3.84507s/iter Exa(h:m:s):00:42:10
INFO:root:AIM-Epoch[100/100](3/660) Lr:0.00010000 Loss:0.78562 Global:0.64933 Local:0.11512 Fusion-alpha:0.02116 Speed:3.55392s/iter Exa(h:m:s):00:38:54
INFO:root:AIM-Epoch[100/100](4/660) Lr:0.00010000 Loss:0.80663 Global:0.65181 Local:0.12981 Fusion-alpha:0.02502 Speed:3.40979s/iter Exa(h:m:s):00:37:16
INFO:root:Checkpoint saved to models/trained/aim_transfer_duts/ckpt_epoch100.pth

If our dataset contains SO only, how long should we train the network, i.e if we are not planning to train further on synthetic datasets which contains STM, NS images?
Is there a benchmark/comparison for DUTS dataset with other models?
Also, is the resnet backbone frozen during training?