|
## Our LR-Scheduler |
|
flat_epoch: 7800 # 4 + epoch // 2, e.g., 40 = 4 + 72 / 2 |
|
no_aug_epoch: 12 |
|
lr_gamma: 1.0 |
In this nano version config, the flat epoch seems to be set wrong to 7800, which should be 78 instead. Also, why is lr_gamma set as 1.0, that is strange since wouldn't that cause the learning rate to be the same? Should I modify that to 0.5 so it match the other versions' base lr in
with 0.5?
Have been trying to train a DEIM model that works better on long tail objects for my machine learning course, if anyone could help answer my question here would be a great help, thanks!
DEIM/configs/deim_dfine/deim_hgnetv2_n_coco.yml
Lines 29 to 32 in 8f28fe6
In this nano version config, the flat epoch seems to be set wrong to 7800, which should be 78 instead. Also, why is lr_gamma set as 1.0, that is strange since wouldn't that cause the learning rate to be the same? Should I modify that to 0.5 so it match the other versions' base lr in
DEIM/configs/base/deim.yml
Line 39 in 8f28fe6
Have been trying to train a DEIM model that works better on long tail objects for my machine learning course, if anyone could help answer my question here would be a great help, thanks!