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from .pretrain import *
del available_corpus
train_file = [
f"{anno_root_downstream}/flickr30k_train.json",
f"{data_root}/f30k",
"video",
]
test_file = dict(
val=[
f"{anno_root_downstream}/flickr30k_val.json",
f"{data_root}/f30k",
"video",
],
test=[
f"{anno_root_downstream}/flickr30k_test.json",
f"{data_root}/f30k",
"video",
],
)
test_types = ["val"]
stop_key = "val/" # used to choose the best ckpt. If None, save the last.
is_paragraph_retrieval = False
criterion["loss_weight"]["mlm"] = 0.0
scheduler["warmup_epochs"] = 0
optimizer["lr"] = 1e-5
max_txt_l = 32
batch_size = 128
num_frames = 1
num_frames_test = 1
log_freq = 100
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