ValueError: [E008] Some current components would be lost when restoring previous pipeline state.

Every time I train the model with the --binary flag I got the following error:

$ prodigy train ner subjects en_core_web_sm --n-iter 1 --dropout 0.2 --binary --output models/company_mentions_sm
✔ Loaded model 'en_core_web_sm'
Using 906 train / 226 eval (split 20%)
Component: ner | Batch size: compounding | Dropout: 0.2 | Iterations: 1
ℹ Baseline accuracy: 0.039

=========================== ✨  Training the model ===========================

#    Loss       Skip    Right   Wrong   Accuracy
--   --------   -----   -----   -----   --------
 1       2.33       0      89     138      0.392                                                                                                                                                                                                                                

Correct     89   
Incorrect   138  
Baseline    0.039             
Accuracy    0.392

Traceback (most recent call last):
  File "/Users/quetzal/.pyenv/versions/3.7.7/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/Users/quetzal/.pyenv/versions/3.7.7/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/Users/quetzal/.pyenv/versions/company-mentions-dataset/lib/python3.7/site-packages/prodigy/__main__.py", line 53, in <module>
    controller = recipe(*args, use_plac=True)
  File "cython_src/prodigy/core.pyx", line 321, in prodigy.core.recipe.recipe_decorator.recipe_proxy
  File "/Users/quetzal/.pyenv/versions/company-mentions-dataset/lib/python3.7/site-packages/plac_core.py", line 328, in call
    cmd, result = parser.consume(arglist)
  File "/Users/quetzal/.pyenv/versions/company-mentions-dataset/lib/python3.7/site-packages/plac_core.py", line 207, in consume
    return cmd, self.func(*(args + varargs + extraopts), **kwargs)
  File "/Users/quetzal/.pyenv/versions/company-mentions-dataset/lib/python3.7/site-packages/prodigy/recipes/train.py", line 194, in train
    disabled.restore()
  File "/Users/quetzal/.pyenv/versions/company-mentions-dataset/lib/python3.7/site-packages/spacy/language.py", line 1139, in restore
    raise ValueError(Errors.E008.format(names=unexpected))
ValueError: [E008] Some current components would be lost when restoring previous pipeline state. If you added components after calling `nlp.disable_pipes()`, you should remove them explicitly with `nlp.remove_pipe()` before the pipeline is restored. Names of the new components: ['sentencizer']

Without the binary flag, everything works just fine. I'm using prodigy 1.10.8. Could you please help me with this issue?

Hi and sorry about that, that's strange :thinking: Could you try something and see if reverting the following change here solves the problem for you?

Hi Ines,
I am using Prodigy version 1.10.7, but I when I start to train the model in --binary mode the error reappears for me:
I have already tried swapping the annot_model = ... above the line disabled = ... in the train recipe. But even that does not solve the error.
Any workarounds for this? I am trying to create a active learning pipeline.

Hi @ines Ines,
I am using Prodigy version 1.10.7, but I when I start to train the model in --binary mode the error reappears for me:
I have already tried swapping the annot_model = ... above the line disabled = ... in the train recipe. But even that does not solve the error.
Any workarounds for this? I am trying to create a active learning pipeline.

Can you try upgrading to v1.10.8? I think that version includes a change that might be relevant here.