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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
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