train_hyp.yaml 764 B

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  1. data:
  2. train_img_dir: 'dataset/train'
  3. train_mask_dir: ''
  4. val_img_dir: 'dataset/val'
  5. val_mask_dir: ''
  6. imgsz: 1024
  7. augment: True
  8. cache: True
  9. aug_param:
  10. hsv: 0.3
  11. mini_mosaic: 0.5
  12. flip_lr: 0.5
  13. neg: 0.3
  14. size_range: [0.7, 1]
  15. train:
  16. epochs: 15
  17. linear_lr: False
  18. optimizer: 'adam'
  19. batch_size: 4
  20. lr0: 0.01
  21. lrf: 0.005
  22. momentum: 0.937
  23. weight_decay: 0.0005
  24. warmup_epochs: 3.0 # warmup epochs (fractions ok)
  25. warmup_momentum: 0.8 # warmup initial momentum
  26. warmup_bias_lr: 0.1 # warmup initial bias lr
  27. eval_interval: 1
  28. loss: 'dice'
  29. accumulation_steps: 1
  30. model:
  31. weights: 'data/yolov5sblk.ckpt'
  32. act: 'leaky'
  33. logger:
  34. type: 'wandb'
  35. run_id: ''
  36. project: ''
  37. resume:
  38. resume_training: False
  39. ckpt: ''