denoise_pretrain__resnet50__img224__300ep.yaml

MODEL:
  TYPE: resnet
  NAME: pretrain
  DROP_PATH_RATE: 0.0
  RECOVER_TARGET_TYPE: normal
  RESNET:
    LAYERS: [3, 4, 6, 3]
DATA:
  IMG_SIZE: 224
  FILTER_TYPE: denoise
  NOISE:
    TYPE: ['gaussian']
    PROB: [1.]
    GAUSSIAN_SIGMA: [75, 75]
    GAUSSIAN_GRAY_NOISE_PROB: 0.
TRAIN:
  EPOCHS: 300
  WARMUP_EPOCHS: 20
  BASE_LR: 3e-4
  WARMUP_LR: 2.5e-7
  MIN_LR: 2.5e-6
  WEIGHT_DECAY: 0.05
  CLIP_GRAD: 3.0
  OPTIMIZER:
    BETAS: (0.9, 0.95)
PRINT_FREQ: 100
SAVE_FREQ: 10
TAG: denoise_pretrain__resnet50__img224__300ep