content: from .pretrain import *
  
  del available_corpus
  
  train_file = [
      f"{anno_root_downstream}/anet_ret_train.json",
      f"{data_root}/activity_net_2fps_360",
      "video",
  ]
  test_file = dict(
      test=[
          f"{anno_root_downstream}/anet_ret_val_1.json",
          f"{data_root}/activity_net_2fps_360",
          "video",
      ],
  )
  
  test_types = ["test"]
  stop_key = "test/"  # used to choose the best ckpt. If None, save the last.
  is_paragraph_retrieval = True
  
  max_txt_l = 64
  batch_size = 32
  num_frames = 12
  
  optimizer["lr"] = 1e-5
  log_freq = 100
  