| # 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 | |