2020-08-29 05:58:43 +08:00
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# Hyperparameters for VOC finetuning
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# python train.py --batch 64 --weights yolov5m.pt --data voc.yaml --img 512 --epochs 50
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2020-08-09 17:12:44 +08:00
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# See tutorials for hyperparameter evolution https://github.com/ultralytics/yolov5#tutorials
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2020-08-29 05:58:43 +08:00
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# Hyperparameter Evolution Results
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# Generations: 51
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# P R mAP.5 mAP.5:.95 box obj cls
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# Metrics: 0.625 0.926 0.89 0.677 0.0111 0.00849 0.00124
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lr0: 0.00447
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lrf: 0.114
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momentum: 0.873
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weight_decay: 0.00047
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giou: 0.0306
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cls: 0.211
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cls_pw: 0.546
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obj: 0.421
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obj_pw: 0.972
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iou_t: 0.2
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anchor_t: 2.26
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# anchors: 5.07
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fl_gamma: 0.0
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hsv_h: 0.0154
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hsv_s: 0.9
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hsv_v: 0.619
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degrees: 0.404
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translate: 0.206
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scale: 0.86
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shear: 0.795
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perspective: 0.0
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flipud: 0.00756
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fliplr: 0.5
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mixup: 0.153
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