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- # YOLOv5 🚀 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
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