task: detect
mode: train

data: full_dataset.yaml
model: yolo11n.pt 
pretrained: True 
name: yolo11n
epochs: 100
patience: 10
batch: 5 
imgsz: 640 
device: 0
workers: 8 
name: train 
optimizer: SGD 
single_cls: True 
cos_lr: False 
verbose: True
lr0: 0.01
lrf: 0.0001
momentum: 0.937
weight_decay: 0.0005
warmup_epochs: 3
warmup_momentum: 0.8
warmup_bias_lr: 0.1

hsv_h: 0.0  # (float) image HSV-Hue augmentation (fraction)
hsv_s: 0.0  # (float) image HSV-Saturation augmentation (fraction)
hsv_v: 0.0  # (float) image HSV-Value augmentation (fraction)
degrees: 0.0  # (float) image rotation (+/- deg)
translate: 0.0  # (float) image translation (+/- fraction)
scale: 0.0  # (float) image scale (+/- gain)
shear: 0.0  # (float) image shear (+/- deg)
perspective: 0.0  # (float) image perspective (+/- fraction), range 0-0.001
flipud: 0.0  # (float) image flip up-down (probability)
fliplr: 0.0  # (float) image flip left-right (probability)
mosaic: 0.0  # (float) image mosaic (probability)
mixup: 0.0  # (float) image mixup (probability)
copy_paste: 0.0  # (float) segment copy-paste (probability)
auto_augment: None
erasing: 0.0
crop_fraction: 0.0