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- trainer:
- name: supervised_segmentation
- train:
- seed: 42
- deterministic: false
- epochs: 200
- batch_size: 4
- val_batch_size: 4
- accum_steps: 1
- amp: true
- num_workers: 4
- pin_memory: true
- persistent_workers: true
- prefetch_factor: 2
- device: cuda
- grad_clip:
- enabled: true
- max_norm: 1.0
- norm_type: 2.0
- metrics:
- task_mode: binary
- metrics:
- - name: dice
- - name: iou
- loss:
- name: dicece
- task_mode: binary
- params:
- include_background: true
- lambda_dice: 0.7
- lambda_ce: 0.3
- validation:
- enabled: true
- interval: 1
- threshold: 0.5
- early_stopping: true
- early_stopping_patience: 40
- early_stopping_min_delta: 0.0
- metrics:
- task_mode: binary
- metrics:
- - name: dice
- - name: iou
- dataset:
- dataset_name: BUSI
- root: data/BUSI
- split: train
- val_split: val
- image_size: [256, 256]
- in_channels: 3
- num_classes: 1
- model:
- in_channels: 3
- encoder_channels: [32, 64, 128, 192]
- encoder_depths: [2, 2, 2, 2]
- decoder_channels: [128, 64, 32]
- stem_channels: 24
- bottleneck_depth: 1
- global_ratio: 2.0
- wavelet_type: haar
- wavelet_level: 1
- use_wavelet_branch: false
- use_global_branch_stage1: false
- ssm_d_state: 16
- ssm_forward_type: v3
- ssm_backend: auto
- use_frequency_refine: false
- low_freq_radius_h: 0.25
- low_freq_radius_w: 0.25
- learnable_low_freq_radius: true
- guide_mode: affine
- out_channels: null
- optimizer:
- name: adamw
- lr: 1.0e-4
- weight_decay: 0.05
- scheduler:
- name: cosine
- warmup:
- name: linear
- params:
- start_factor: 0.1
- total_iters: 10
- params:
- T_max: 190
- eta_min: 1.0e-6
- augmentation:
- train:
- random_flip: true
- random_rotate_90: true
- random_brightness_contrast: true
- brightness_limit: 0.15
- contrast_limit: 0.15
- random_gaussian_noise: true
- gaussian_noise_std: 0.03
- val: {}
- checkpoint:
- dir: outputs/experiments/supervised/BUSI_ablation
- save: true
- save_last: true
- monitor: dice
- monitor_mode: max
- resume: null
- resume_strict: true
- resume_training: true
- logging:
- log_interval: 10
- print_training_setup: true
- use_swanlab: true
- project: X_SSL_Net
- experiment_name: xnet_sup_busi_no_wavelet_no_freq
- swanlab_mode: null
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