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# YOLOv5 π by Ultralytics, GPL-3.0 license | |
# Hyperparameters for VOC finetuning | |
# python train.py --batch 64 --weights yolov5m.pt --data VOC.yaml --img 512 --epochs 50 | |
# See tutorials for hyperparameter evolution https://github.com/ultralytics/yolov5#tutorials | |
# Hyperparameter Evolution Results | |
# Generations: 306 | |
# P R mAP.5 mAP.5:.95 box obj cls | |
# Metrics: 0.6 0.936 0.896 0.684 0.0115 0.00805 0.00146 | |
lr0: 0.0032 | |
lrf: 0.12 | |
momentum: 0.843 | |
weight_decay: 0.00036 | |
warmup_epochs: 2.0 | |
warmup_momentum: 0.5 | |
warmup_bias_lr: 0.05 | |
box: 0.0296 | |
cls: 0.243 | |
cls_pw: 0.631 | |
obj: 0.301 | |
obj_pw: 0.911 | |
iou_t: 0.2 | |
anchor_t: 2.91 | |
# anchors: 3.63 | |
fl_gamma: 0.0 | |
hsv_h: 0.0138 | |
hsv_s: 0.664 | |
hsv_v: 0.464 | |
degrees: 0.373 | |
translate: 0.245 | |
scale: 0.898 | |
shear: 0.602 | |
perspective: 0.0 | |
flipud: 0.00856 | |
fliplr: 0.5 | |
mosaic: 1.0 | |
mixup: 0.243 | |
copy_paste: 0.0 | |