text: _base_ = [
      './base_cfg.py',
      './model_cfgs/transloc3d_cfg.py',
      './dataset_cfgs/university_cfg.py'
  ]
  
  task_type = 'default_me'
  
  
  optimizer_type = 'Adam'
  optimizer_cfg = dict(
      lr=2e-5,
      weight_decay=0,
      betas=(0.9, 0.999),
  )
  
  scheduler_type = 'MultiStepLR'
  scheduler_cfg = dict(
      gamma=0.2,
      milestones=(30, )
  )
  
  end_epoch = 50
  
  train_cfg = dict(
      save_per_epoch=2,
      val_per_epoch=2,
      batch_sampler_type='ExpansionBatchSampler',
      batch_sampler_cfg=dict(
          max_batch_size=256,
          batch_size_expansion_rate=1.4,
          batch_expansion_threshold=0.7,
          batch_size=32,
          shuffle=True,
          drop_last=True,
      ),
      num_workers=16,
  )
  
  eval_cfg = dict(
      batch_sampler_cfg=dict(
          batch_size=32,
          drop_last=False,
      ),
      num_workers=16,
      normalize_embeddings=False,
  )
  