text: _base_ = './htc_hrnetv2p_w40_20e_coco.py'
  # learning policy
  lr_config = dict(step=[24, 27])
  # runner = dict(type='EpochBasedRunner', max_epochs=28)
  
  # # optimizer_config = dict(_delete_=True)
  # optimizer_config = dict(_delete_=True,
  #                         grad_clip=dict(max_norm=35.0, norm_type=2))
  # checkpoint_config = dict(max_keep_ckpts=1)
  
  lr_config = dict(step=[24, 27])
  runner = dict(type='EpochBasedRunner', max_epochs=56)
  
  # optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001)
  optimizer = dict(type='SGD', lr=0.0025, momentum=0.9, weight_decay=0.0001) # from before
  optimizer_config = dict(_delete_=True,
                          grad_clip=dict(max_norm=35.0, norm_type=2))
  checkpoint_config = dict(max_keep_ckpts=1)
  