sp_error

---------------------------------------------------------------------------
OSError                                   Traceback (most recent call last)
<ipython-input-104-696308cd97b4> in <module>
----> 1 dblk_lm.summary(cases_mini[:100])

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/fastai2/data/block.py in summary(self, source, bs, show_batch, **kwargs)
    152     print(f"Setting-up type transforms pipelines")
    153     dsets = self.datasets(source, verbose=True)
--> 154     print("\nBuilding one sample")
    155     for tl in dsets.train.tls:
    156         _apply_pipeline(tl.tfms, get_first(dsets.train.items))

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/fastai2/data/block.py in datasets(self, source, verbose)
    102         splits = (self.splitter or RandomSplitter())(items)
    103         pv(f"{len(splits)} datasets of sizes {','.join([str(len(s)) for s in splits])}", verbose)
--> 104         return Datasets(items, tfms=self._combine_type_tfms(), splits=splits, dl_type=self.dl_type, n_inp=self.n_inp, verbose=verbose)
    105 
    106     def dataloaders(self, source, path='.', verbose=False, **kwargs):

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/fastai2/data/core.py in __init__(self, items, tfms, tls, n_inp, dl_type, **kwargs)
    278     def __init__(self, items=None, tfms=None, tls=None, n_inp=None, dl_type=None, **kwargs):
    279         super().__init__(dl_type=dl_type)
--> 280         self.tls = L(tls if tls else [TfmdLists(items, t, **kwargs) for t in L(ifnone(tfms,[None]))])
    281         self.n_inp = ifnone(n_inp, max(1, len(self.tls)-1))
    282 

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/fastai2/data/core.py in <listcomp>(.0)
    278     def __init__(self, items=None, tfms=None, tls=None, n_inp=None, dl_type=None, **kwargs):
    279         super().__init__(dl_type=dl_type)
--> 280         self.tls = L(tls if tls else [TfmdLists(items, t, **kwargs) for t in L(ifnone(tfms,[None]))])
    281         self.n_inp = ifnone(n_inp, max(1, len(self.tls)-1))
    282 

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/fastcore/foundation.py in __call__(cls, x, *args, **kwargs)
     45             return x
     46 
---> 47         res = super().__call__(*((x,) + args), **kwargs)
     48         res._newchk = 0
     49         return res

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/fastai2/data/core.py in __init__(self, items, tfms, use_list, do_setup, split_idx, train_setup, splits, types, verbose)
    216         if do_setup:
    217             pv(f"Setting up {self.tfms}", verbose)
--> 218             self.setup(train_setup=train_setup)
    219 
    220     def _new(self, items, split_idx=None, **kwargs):

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/fastai2/data/core.py in setup(self, train_setup)
    232 
    233     def setup(self, train_setup=True):
--> 234         self.tfms.setup(self, train_setup)
    235         if len(self) != 0:
    236             x = super().__getitem__(0) if self.splits is None else super().__getitem__(self.splits[0])[0]

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/fastcore/transform.py in setup(self, items, train_setup)
    179         tfms = self.fs[:]
    180         self.fs.clear()
--> 181         for t in tfms: self.add(t,items, train_setup)
    182 
    183     def add(self,t, items=None, train_setup=False):

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/fastcore/transform.py in add(self, t, items, train_setup)
    182 
    183     def add(self,t, items=None, train_setup=False):
--> 184         t.setup(items, train_setup)
    185         self.fs.append(t)
    186 

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/fastcore/transform.py in setup(self, items, train_setup)
     76     def setup(self, items=None, train_setup=False):
     77         train_setup = train_setup if self.train_setup is None else self.train_setup
---> 78         return self.setups(getattr(items, 'train', items) if train_setup else items)
     79 
     80     def _call(self, fn, x, split_idx=None, **kwargs):

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/fastcore/dispatch.py in __call__(self, *args, **kwargs)
     96         if not f: return args[0]
     97         if self.inst is not None: f = MethodType(f, self.inst)
---> 98         return f(*args, **kwargs)
     99 
    100     def __get__(self, inst, owner):

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/fastai2/text/core.py in setups(self, dsets)
    285     def setups(self, dsets):
    286         if not self.mode == 'df' or not isinstance(dsets.items, pd.DataFrame): return
--> 287         dsets.items,count = tokenize_df(dsets.items, self.text_cols, rules=self.rules, **self.kwargs)
    288         if self.counter is None: self.counter = count
    289         return dsets

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/fastai2/text/core.py in tokenize_df(df, text_cols, n_workers, rules, mark_fields, tok_func, res_col_name, **tok_kwargs)
    215     rules = L(ifnone(rules, defaults.text_proc_rules.copy()))
    216     texts = _join_texts(df[text_cols], mark_fields=mark_fields)
--> 217     outputs = L(parallel_tokenize(texts, tok_func, rules, n_workers=n_workers, **tok_kwargs)
    218                ).sorted().itemgot(1)
    219 

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/fastai2/text/core.py in parallel_tokenize(items, tok_func, rules, as_gen, n_workers, **tok_kwargs)
    141 def parallel_tokenize(items, tok_func, rules, as_gen=False, n_workers=defaults.cpus, **tok_kwargs):
    142     "Calls a potential setup on `tok_func` before launching `TokenizeBatch` in parallel"
--> 143     if hasattr(tok_func, 'setup'): tok_kwargs = tok_func(**tok_kwargs).setup(items, rules)
    144     return parallel_gen(TokenizeBatch, items, as_gen=as_gen, tok_func=tok_func,
    145                         rules=rules, n_workers=n_workers, **tok_kwargs)

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/fastai2/text/core.py in setup(self, items, rules)
    363             for t in progress_bar(maps(*rules, items), total=len(items), leave=False):
    364                 f.write(f'{t}\n')
--> 365         sp_model = self.train(raw_text_path)
    366         self.tok = SentencePieceProcessor()
    367         self.tok.Load(str(sp_model))

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/fastai2/text/core.py in train(self, raw_text_path)
    351             f"--character_coverage={self.char_coverage} --model_type={self.model_type}",
    352             f"--unk_id={len(spec_tokens)} --pad_id=-1 --bos_id=-1 --eos_id=-1 --minloglevel=2",
--> 353             f"--user_defined_symbols={','.join(spec_tokens)}"]))
    354         raw_text_path.unlink()
    355         return self.cache_dir/'spm.model'

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/sentencepiece.py in Train(arg, **kwargs)

~/miniconda3/envs/fastai2/lib/python3.7/site-packages/sentencepiece.py in _TrainFromString(arg)

OSError: Not found: unknown field name "minloglevel" in TrainerSpec.