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- # YOLOv5 🚀 by Ultralytics, GPL-3.0 license
- # Hyperparameters for VOC training
- # python train.py --batch 128 --weights yolov5m6.pt --data VOC.yaml --epochs 50 --img 512 --hyp hyp.scratch-med.yaml --evolve
- # See Hyperparameter Evolution tutorial for details https://github.com/ultralytics/yolov5#tutorials
- # YOLOv5 Hyperparameter Evolution Results
- # Best generation: 467
- # Last generation: 996
- # metrics/precision, metrics/recall, metrics/mAP_0.5, metrics/mAP_0.5:0.95, val/box_loss, val/obj_loss, val/cls_loss
- # 0.87729, 0.85125, 0.91286, 0.72664, 0.0076739, 0.0042529, 0.0013865
- lr0: 0.00334
- lrf: 0.15135
- momentum: 0.74832
- weight_decay: 0.00025
- warmup_epochs: 3.3835
- warmup_momentum: 0.59462
- warmup_bias_lr: 0.18657
- box: 0.02
- cls: 0.21638
- cls_pw: 0.5
- obj: 0.51728
- obj_pw: 0.67198
- iou_t: 0.2
- anchor_t: 3.3744
- fl_gamma: 0.0
- hsv_h: 0.01041
- hsv_s: 0.54703
- hsv_v: 0.27739
- degrees: 0.0
- translate: 0.04591
- scale: 0.75544
- shear: 0.0
- perspective: 0.0
- flipud: 0.0
- fliplr: 0.5
- mosaic: 0.85834
- mixup: 0.04266
- copy_paste: 0.0
- anchors: 3.412
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