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MODEL:
  META_ARCHITECTURE: Baseline

  BACKBONE:
    NAME: build_resnet_backbone
    DEPTH: 18x
    NORM: BN
    LAST_STRIDE: 2
    FEAT_DIM: 512
    PRETRAIN: True

  HEADS:
    NAME: ClasHead
    WITH_BNNECK: False
    EMBEDDING_DIM: 0
    POOL_LAYER: FastGlobalAvgPool
    CLS_LAYER: Linear
    NUM_CLASSES: 2

  LOSSES:
    NAME: ("CrossEntropyLoss",)

    CE:
      EPSILON: 0.1
      SCALE: 1.

INPUT:
  SIZE_TRAIN: [0,]  # no need for resize when training
  SIZE_TEST: [256,]

  CROP:
    ENABLED: True
    SIZE: [224,]
    SCALE: [0.08, 1]
    RATIO: [0.75, 1.333333333]

  FLIP:
    ENABLED: True

DATALOADER:
  SAMPLER_TRAIN: TrainingSampler
  NUM_WORKERS: 8

SOLVER:
  MAX_EPOCH: 100
  AMP:
    ENABLED: True

  OPT: SGD
  SCHED: CosineAnnealingLR

  BASE_LR: 0.001
  MOMENTUM: 0.9
  NESTEROV: False

  BIAS_LR_FACTOR: 1.
  WEIGHT_DECAY: 0.0005
  WEIGHT_DECAY_BIAS: 0.
  IMS_PER_BATCH: 16

  ETA_MIN_LR: 0.00003

  WARMUP_FACTOR: 0.1
  WARMUP_ITERS: 100

  CHECKPOINT_PERIOD: 10

TEST:
  EVAL_PERIOD: 10
  IMS_PER_BATCH: 256

DATASETS:
  NAMES: ("Hymenoptera",)
  TESTS: ("Hymenoptera",)

OUTPUT_DIR: projects/FastClas/logs/r18_demo