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| # YOLOv5 🚀 by Ultralytics, AGPL-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 | |