configs/config/benchmark/fulltune/imagenet1k/eval_resnet_8gpu_transfer_in1k_fulltune.yaml [48:104]:
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  METERS:
    name: accuracy_list_meter
    accuracy_list_meter:
      num_meters: 1
      topk_values: [1, 5]
  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, 1000]}],
      ]
    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: 0.000
      momentum: 0.9
      num_epochs: 105
      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, 0.0001, 0.00001]
          milestones: [30, 60, 90, 100]
          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/robustness_out_of_distribution/imagenet_a/eval_resnet_8gpu_robustness_in1k_fulltune.yaml [48:104]:
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  METERS:
    name: accuracy_list_meter
    accuracy_list_meter:
      num_meters: 1
      topk_values: [1, 5]
  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, 1000]}],
      ]
    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: 0.000
    momentum: 0.9
    num_epochs: 105
    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, 0.0001, 0.00001]
        milestones: [30, 60, 90, 100]
        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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