text: _base_ = [
      '../_base_/models/resnet50.py', '../_base_/datasets/tiny_imagenet_bs128.py',
      '../_base_/default_runtime.py'
  ]
  model = dict(head=dict(num_classes=200))
  
  # optimizer
  optimizer = dict(type='SGD', lr=0.1, momentum=0.9, weight_decay=0.0005)
  optimizer_config = dict(grad_clip=None)
  # learning policy
  lr_config = dict(policy='CosineAnnealing', min_lr=0)
  runner = dict(type='EpochBasedRunner', max_epochs=100)
  
  checkpoint_config = dict(interval=20)
  
  
  