configs/config/benchmark/low_shot_transfer/caltech101/eval_resnet_8gpu_transfer_caltech101_low_tune.yaml [49:105]:
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  METERS:
    name: accuracy_list_meter
    accuracy_list_meter:
      num_meters: 1
      topk_values: [1]
  TRAINER:
    TRAIN_STEP_NAME: standard_train_step
  MODEL:
    FEATURE_EVAL_SETTINGS:
      EVAL_MODE_ON: True
      EVAL_TRUNK_AND_HEAD: False
    TRUNK:
      NAME: resnet
      RESNETS:
        DEPTH: 50
    HEAD:
      PARAMS: [
        ["mlp", {"dims": [2048, 102]}],
      ]
    WEIGHTS_INIT:
      PARAMS_FILE: "specify model weights"
      STATE_DICT_KEY_NAME: classy_state_dict
      APPEND_PREFIX: trunk.
  LOSS:
    name: cross_entropy_multiple_output_single_target
    cross_entropy_multiple_output_single_target:
      ignore_index: -1
  OPTIMIZER:
    name: sgd
    weight_decay: 0.0005
    momentum: 0.9
    num_epochs: 90
    nesterov: True
    regularize_bn: False
    regularize_bias: True
    param_schedulers:
      lr:
        auto_lr_scaling:
          auto_scale: true
          base_value: 0.1
          base_lr_batch_size: 256
        values: [0.1, 0.01, 0.001]
        milestones: [30, 60]
        name: multistep
        update_interval: epoch
  DISTRIBUTED:
    BACKEND: nccl
    NUM_NODES: 1
    NUM_PROC_PER_NODE: 8
    INIT_METHOD: tcp
    RUN_ID: auto
  MACHINE:
    DEVICE: gpu
  CHECKPOINT:
    DIR: "."
    AUTO_RESUME: True
    CHECKPOINT_FREQUENCY: 1
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configs/config/benchmark/low_shot_transfer/oxford_flowers/eval_resnet_8gpu_transfer_oxford_flowers_low_tune.yaml [49:105]:
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  METERS:
    name: accuracy_list_meter
    accuracy_list_meter:
      num_meters: 1
      topk_values: [1]
  TRAINER:
    TRAIN_STEP_NAME: standard_train_step
  MODEL:
    FEATURE_EVAL_SETTINGS:
      EVAL_MODE_ON: True
      EVAL_TRUNK_AND_HEAD: False
    TRUNK:
      NAME: resnet
      RESNETS:
        DEPTH: 50
    HEAD:
      PARAMS: [
        ["mlp", {"dims": [2048, 102]}],
      ]
    WEIGHTS_INIT:
      PARAMS_FILE: "specify model weights"
      STATE_DICT_KEY_NAME: classy_state_dict
      APPEND_PREFIX: trunk.
  LOSS:
    name: cross_entropy_multiple_output_single_target
    cross_entropy_multiple_output_single_target:
      ignore_index: -1
  OPTIMIZER:
    name: sgd
    weight_decay: 0.0005
    momentum: 0.9
    num_epochs: 90
    nesterov: True
    regularize_bn: False
    regularize_bias: True
    param_schedulers:
      lr:
        auto_lr_scaling:
          auto_scale: true
          base_value: 0.1
          base_lr_batch_size: 256
        values: [0.1, 0.01, 0.001]
        milestones: [30, 60]
        name: multistep
        update_interval: epoch
  DISTRIBUTED:
    BACKEND: nccl
    NUM_NODES: 1
    NUM_PROC_PER_NODE: 8
    INIT_METHOD: tcp
    RUN_ID: auto
  MACHINE:
    DEVICE: gpu
  CHECKPOINT:
    DIR: "."
    AUTO_RESUME: True
    CHECKPOINT_FREQUENCY: 1
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