Update hyp.finetune.yaml on VOC results

data/hyp.finetune.yaml

@@ -4,12 +4,12 @@
 
 
 lr0: 0.01  # initial learning rate (SGD=1E-2, Adam=1E-3)
-momentum: 0.937  # SGD momentum/Adam beta1
+momentum: 0.94  # SGD momentum/Adam beta1
 weight_decay: 0.0005  # optimizer weight decay 5e-4
 giou: 0.05  # GIoU loss gain
-cls: 0.5  # cls loss gain
+cls: 0.2  # cls loss gain
 cls_pw: 1.0  # cls BCELoss positive_weight
-obj: 1.0  # obj loss gain (scale with pixels)
+obj: 0.3  # obj loss gain (scale with pixels)
 obj_pw: 1.0  # obj BCELoss positive_weight
 iou_t: 0.20  # IoU training threshold
 anchor_t: 4.0  # anchor-multiple threshold
@@ -17,11 +17,11 @@ fl_gamma: 0.0  # focal loss gamma (efficientDet default gamma=1.5)
 hsv_h: 0.015  # image HSV-Hue augmentation (fraction)
 hsv_s: 0.7  # image HSV-Saturation augmentation (fraction)
 hsv_v: 0.4  # image HSV-Value augmentation (fraction)
-degrees: 0.0  # image rotation (+/- deg)
+degrees: 1.0  # image rotation (+/- deg)
 translate: 0.1  # image translation (+/- fraction)
-scale: 0.5  # image scale (+/- gain)
-shear: 0.0  # image shear (+/- deg)
+scale: 0.6  # image scale (+/- gain)
+shear: 1.0  # image shear (+/- deg)
 perspective: 0.0  # image perspective (+/- fraction), range 0-0.001
-flipud: 0.0  # image flip up-down (probability)
+flipud: 0.01  # image flip up-down (probability)
 fliplr: 0.5  # image flip left-right (probability)
-mixup: 0.0  # image mixup (probability)
+mixup: 0.2  # image mixup (probability)