mmf can't find problem?
!mmf_run config="projects/visual_bert/configs/hateful_memes/from_coco.yaml"
model="visual_bert"
dataset=hateful_memes
run_type=train_val
checkpoint.max_to_keep=1
checkpoint.resume_zoo=visual_bert.pretrained.cc.small_fifty_pc
training.tensorboard=True
training.checkpoint_interval=50
training.evaluation_interval=50
training.max_updates=3000
training.log_interval=100
dataset_config.hateful_memes.max_features=120
dataset_config.hateful_memes.annotations.train[0]=$train_dir
dataset_config.hateful_memes.annotations.val[0]=$dev_unseen
dataset_config.hateful_memes.annotations.test[0]=$test_unseen
dataset_config.hateful_memes.features.train[0]=$feats_dir
dataset_config.hateful_memes.features.val[0]=$feats_dir
dataset_config.hateful_memes.features.test[0]=$feats_dir
training.lr_ratio=0.3
training.use_warmup=True
training.batch_size=32
optimizer.params.lr=5.0e-05
env.save_dir=./sub1
env.tensorboard_logdir=logs/fit/sub1 \
Traceback (most recent call last): File "/usr/local/lib/python3.7/dist-packages/importlib_metadata/init.py", line 564, in from_name return next(cls.discover(name=name)) StopIteration During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/usr/bin/mmf_run", line 33, in
who can help me solve this problem?