config/classification/mobilevit_small.yaml [1:40]:
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common:
  run_label: "run_1"
  log_freq: 500
  auto_resume: true
  mixed_precision: true
dataset:
  root_train: "/mnt/imagenet/training"
  root_val: "/mnt/imagenet/validation"
  name: "imagenet"
  category: "classification"
  train_batch_size0: 128
  val_batch_size0: 100
  eval_batch_size0: 100
  workers: 4
  persistent_workers: false
  pin_memory: true
image_augmentation:
  random_resized_crop:
    enable: true
    interpolation: "bilinear"
  random_horizontal_flip:
    enable: true
sampler:
  name: "variable_batch_sampler"
  vbs:
    crop_size_width: 256
    crop_size_height: 256
    max_n_scales: 5
    min_crop_size_width: 160
    max_crop_size_width: 320
    min_crop_size_height: 160
    max_crop_size_height: 320
    check_scale: 32
loss:
  category: "classification"
  classification:
    name: "label_smoothing"
    label_smoothing_factor: 0.1
optim:
  name: "adamw"
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config/classification/mobilevit_xx_small.yaml [1:40]:
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common:
  run_label: "run_1"
  log_freq: 500
  auto_resume: true
  mixed_precision: true
dataset:
  root_train: "/mnt/imagenet/training"
  root_val: "/mnt/imagenet/validation"
  name: "imagenet"
  category: "classification"
  train_batch_size0: 128
  val_batch_size0: 100
  eval_batch_size0: 100
  workers: 4
  persistent_workers: false
  pin_memory: true
image_augmentation:
  random_resized_crop:
    enable: true
    interpolation: "bilinear"
  random_horizontal_flip:
    enable: true
sampler:
  name: "variable_batch_sampler"
  vbs:
    crop_size_width: 256
    crop_size_height: 256
    max_n_scales: 5
    min_crop_size_width: 160
    max_crop_size_width: 320
    min_crop_size_height: 160
    max_crop_size_height: 320
    check_scale: 32
loss:
  category: "classification"
  classification:
    name: "label_smoothing"
    label_smoothing_factor: 0.1
optim:
  name: "adamw"
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