model:
    arch: 'linear_res'
    # arch: 'basic_res'
    # arch: 'mlp'
    depth: 18
    width: 256
    use_lln: True
    num_lc_iter: 10
    act_name: 'MinMax'

training:
    batch_size: 256
    epochs: 800
    warmup_epochs: 20
    lr: 0.001
    weight_decay: 0.0001
    grad_clip: True
    grad_clip_val: 3

dataset:
    name: 'cifar100'
    num_classes: 100
    input_size: 32

gloro:
    eps: 0.14117647
    min_eps: 0.1
    max_eps: 1.5
    trades_loss: False
