Ultralytics AssistantandGlenn Jocher
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Add license line to utils/segment/metrics.py * Add license line to utils/segment/plots.py * Add license line to utils/torch_utils.py * Add license line to utils/triton.py * Add license line to val.py * Auto-format by https://ultralytics.com/actions * Update ImageNet1000.yaml Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Auto-format by https://ultralytics.com/actions --------- Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
41 lines
1.1 KiB
YAML
41 lines
1.1 KiB
YAML
# Ultralytics YOLOv5 🚀, AGPL-3.0 license
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# Hyperparameters for VOC training
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# python train.py --batch 128 --weights yolov5m6.pt --data VOC.yaml --epochs 50 --img 512 --hyp hyp.scratch-med.yaml --evolve
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# See Hyperparameter Evolution tutorial for details https://github.com/ultralytics/yolov5#tutorials
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# YOLOv5 Hyperparameter Evolution Results
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# Best generation: 467
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# Last generation: 996
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# metrics/precision, metrics/recall, metrics/mAP_0.5, metrics/mAP_0.5:0.95, val/box_loss, val/obj_loss, val/cls_loss
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# 0.87729, 0.85125, 0.91286, 0.72664, 0.0076739, 0.0042529, 0.0013865
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lr0: 0.00334
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lrf: 0.15135
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momentum: 0.74832
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weight_decay: 0.00025
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warmup_epochs: 3.3835
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warmup_momentum: 0.59462
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warmup_bias_lr: 0.18657
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box: 0.02
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cls: 0.21638
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cls_pw: 0.5
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obj: 0.51728
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obj_pw: 0.67198
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iou_t: 0.2
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anchor_t: 3.3744
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fl_gamma: 0.0
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hsv_h: 0.01041
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hsv_s: 0.54703
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hsv_v: 0.27739
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degrees: 0.0
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translate: 0.04591
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scale: 0.75544
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shear: 0.0
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perspective: 0.0
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flipud: 0.0
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fliplr: 0.5
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mosaic: 0.85834
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mixup: 0.04266
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copy_paste: 0.0
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anchors: 3.412
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