在Flickr30k-CN数据的fintune实验上，无法复现论文，特别是valid上表现，低于10%
训练配置：

## Number of GPUs per GPU worker

GPUS_PER_NODE=8

## Number of GPU workers, for single-worker training, please set to 1

WORKER_CNT=1

## The ip address of the rank-0 worker, for single-worker training, please set to localhost

export MASTER_ADDR=127.0.0.1

## The port for communication

export MASTER_PORT=8514

## The rank of this worker, should be in {0, ..., WORKER_CNT-1}, for single-worker training, please set to 0

export RANK=0
context_length=52
 warmup=100
 batch_size=512
 valid_batch_size=512
 accum_freq=2
 lr=5e-4
 wd=0.001
 max_epochs=30 # or you can alternatively specify --max-steps
 valid_step_interval=150
 valid_epoch_interval=1
 vision_model=ViT-B-16
 text_model=RoBERTa-wwm-ext-base-chinese

## mask_ratio=0.5 # use flip: set mask ratio

use_augment="--use-augment"
 use_augment=""