Traceback (most recent call last):


 "/opt/conda/envs/python35-paddle120-env/lib/python3.7/multiprocessing/process.py", line 297, in _bootstrap

self.run()


 "/opt/conda/envs/python35-paddle120-env/lib/python3.7/multiprocessing/process.py", line 99, in run

self._target(*self._args, **self._kwargs)


 "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/datasets/dataset.py", line 166, in _read_into_queue

six.reraise(*sys.exc_info())


 "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/six.py", line 703, in reraise

raise value


 "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/datasets/dataset.py", line 158, in _read_into_queue

result = mapper(sample[0], sample[1], sample[2])


 "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/transforms/seg_transforms.py", line 137, in __call__

im, label = self.decode_image(im, label)


 "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/transforms/seg_transforms.py", line 118, in decode_image

label_height, label_width = label.shape
ValueError: too many values to unpack (expected 2)

Traceback (most recent call last):

 "/home/optio/rasaprojects/rasaenv/bin/rasa", line 8, in <module>
sys.exit(main())

 "/home/optio/rasaprojects/rasaenv/lib/python3.6/site-packages/rasa/__main__.py", line 91, in main
cmdline_arguments.func(cmdline_arguments)

 "/home/optio/rasaprojects/rasaenv/lib/python3.6/site-packages/rasa/cli/train.py", line 76, in train
additional_arguments=extract_additional_arguments(args),

 "/home/optio/rasaprojects/rasaenv/lib/python3.6/site-packages/rasa/train.py", line 50, in train
additional_arguments=additional_arguments,

 "uvloop/loop.pyx", line 1456, in uvloop.loop.Loop.run_until_complete

 "/home/optio/rasaprojects/rasaenv/lib/python3.6/site-packages/rasa/train.py", line 101, in train_async
additional_arguments,

 "/home/optio/rasaprojects/rasaenv/lib/python3.6/site-packages/rasa/train.py", line 188, in _train_async_internal
additional_arguments=additional_arguments,

 "/home/optio/rasaprojects/rasaenv/lib/python3.6/site-packages/rasa/train.py", line 245, in _do_training
persist_nlu_training_data=persist_nlu_training_data,

 "/home/optio/rasaprojects/rasaenv/lib/python3.6/site-packages/rasa/train.py", line 474, in _train_nlu_with_validated_data
persist_nlu_training_data=persist_nlu_training_data,

 "/home/optio/rasaprojects/rasaenv/lib/python3.6/site-packages/rasa/nlu/train.py", line 86, in train
interpreter = trainer.train(training_data, **kwargs)

 "/home/optio/rasaprojects/rasaenv/lib/python3.6/site-packages/rasa/nlu/model.py", line 191, in train
updates = component.train(working_data, self.config, **context)

 "/home/optio/rasaprojects/rasaenv/lib/python3.6/site-packages/rasa/nlu/utils/hugging_face/hf_transformers.py", line 472, in train
batch_docs = self._get_docs_for_batch(batch_messages, attribute)

 "/home/optio/rasaprojects/rasaenv/lib/python3.6/site-packages/rasa/nlu/utils/hugging_face/hf_transformers.py", line 417, in _get_docs_for_batch
batch_examples, attribute

 "/home/optio/rasaprojects/rasaenv/lib/python3.6/site-packages/rasa/nlu/utils/hugging_face/hf_transformers.py", line 249, in _get_token_ids_for_batch
example, attribute

 "/home/optio/rasaprojects/rasaenv/lib/python3.6/site-packages/rasa/nlu/utils/hugging_face/hf_transformers.py", line 219, in _tokenize_example
split_token_ids, split_token_strings 
 "/home/optio/rasaprojects/rasaenv/lib/python3.6/site-packages/rasa/nlu/utils/hugging_face/hf_transformers.py", line 154, in _lm_specific_token_cleanup
return model_tokens_cleaners[self.model_name](split_token_ids, token_strings)

 "/home/optio/rasaprojects/rasaenv/lib/python3.6/site-packages/rasa/nlu/utils/hugging_face/transformers_pre_post_processors.py", line 234, in bert_tokens_cleaner
return cleanup_tokens(list(zip(token_ids, token_strings)), "##")

 "/home/optio/rasaprojects/rasaenv/lib/python3.6/site-packages/rasa/nlu/utils/hugging_face/transformers_pre_post_processors.py", line 26, in cleanup_tokens
token_ids, token_strings = zip(*token_ids_string)
ValueError: not enough values to unpack (expected 2, got 0) 
```
