us_exp_sup_busi.yaml 1.5 KB

1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586878889909192
  1. trainer:
  2. name: supervised_segmentation
  3. train:
  4. seed: 42
  5. epochs: 200
  6. batch_size: 4
  7. val_batch_size: 4
  8. amp: true
  9. num_workers: 4
  10. pin_memory: true
  11. persistent_workers: true
  12. prefetch_factor: 2
  13. device: cuda
  14. grad_clip:
  15. enabled: true
  16. max_norm: 1.0
  17. norm_type: 2.0
  18. metrics:
  19. task_mode: binary
  20. metrics:
  21. - name: dice
  22. - name: iou
  23. validation:
  24. enabled: true
  25. interval: 1
  26. threshold: 0.5
  27. early_stopping: true
  28. early_stopping_patience: 40
  29. early_stopping_min_delta: 0.0
  30. metrics:
  31. task_mode: binary
  32. metrics:
  33. - name: dice
  34. - name: iou
  35. dataset:
  36. dataset_name: BUSI
  37. root: data/BUSI
  38. split: train
  39. val_split: val
  40. image_size: [256, 256]
  41. in_channels: 3
  42. num_classes: 1
  43. model:
  44. model_name: swinv2_tiny_patch4_window8_256
  45. load_weights: false
  46. decoder_channels: [384, 192, 96, 96]
  47. fwta_wavelet: haar
  48. fwta_level: 1
  49. fwta_sigma_ratio: 0.35
  50. fwta_tau_fourier: 0.15
  51. fwta_gate_temperature: 1.0
  52. use_multiscale_features: true
  53. include_patch_embed: true
  54. optimizer:
  55. name: adamw
  56. lr: 1.0e-4
  57. weight_decay: 0.05
  58. scheduler:
  59. name: cosine
  60. warmup:
  61. name: linear
  62. params:
  63. start_factor: 0.1
  64. total_iters: 10
  65. params:
  66. T_max: 190
  67. eta_min: 1.0e-6
  68. checkpoint:
  69. dir: outputs/experiments/supervised/BUSI
  70. save: true
  71. save_last: true
  72. monitor: dice
  73. monitor_mode: max
  74. resume: null
  75. resume_strict: true
  76. resume_training: true
  77. logging:
  78. log_interval: 10
  79. print_training_setup: true
  80. use_swanlab: true
  81. project: X_SSL_Net
  82. experiment_name: sup_busi
  83. swanlab_mode: null