wrong loss penalize？

[ideask]

i.e: #200: 姿态(pose) 0 #201: 表情(expression) 0 #202: 照度(illumination) 0 #203: 化妆(make-up) 0 #204: 遮挡(occlusion) 0 #205: 模糊(blur) 0

the cleaner sample, i.e. without attributes, the loss = 0 ？？？ why???

[ucohen]

it seems like the loss function does not match this dataset, as there are numerous items with no attributes - causing zero effect on the loss. Any suggestions?