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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: 319
- # Last generation: 434
- # metrics/precision, metrics/recall, metrics/mAP_0.5, metrics/mAP_0.5:0.95, val/box_loss, val/obj_loss, val/cls_loss
- # 0.86236, 0.86184, 0.91274, 0.72647, 0.0077056, 0.0042449, 0.0013846
-
- lr0: 0.0033
- lrf: 0.15184
- momentum: 0.74747
- weight_decay: 0.00025
- warmup_epochs: 3.4278
- warmup_momentum: 0.59032
- warmup_bias_lr: 0.18742
- box: 0.02
- cls: 0.21563
- cls_pw: 0.5
- obj: 0.50843
- obj_pw: 0.6729
- iou_t: 0.2
- anchor_t: 3.4172
- fl_gamma: 0.0
- hsv_h: 0.01032
- hsv_s: 0.5562
- hsv_v: 0.28255
- degrees: 0.0
- translate: 0.04575
- scale: 0.73711
- shear: 0.0
- perspective: 0.0
- flipud: 0.0
- fliplr: 0.5
- mosaic: 0.87158
- mixup: 0.04294
- copy_paste: 0.0
- anchors: 3.3556
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