model:
    arch: 'linear_res'
    depth: 18
    width: 588
    use_lln: True
    num_lc_iter: 10
    act_name: 'MinMax'

training:
    batch_size: 1024
    epochs: 400
    warmup_epochs: 20
    lr: 0.001
    weight_decay: 0.0
    grad_clip: True
    grad_clip_val: 3

dataset:
    name: 'imagenet'
    num_classes: 1000
    input_size: 224
    seed: 2023

gloro:
    eps: 1.0
    min_eps: 0.1
    max_eps: 1.5
    trades_loss: False
