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panigrah
/
wineberto-ner
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Token Classification
Transformers
PyTorch
bert
wine
ner
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unknown
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wineberto-ner
437 MB
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9 commits
panigrah
Update README.md
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over 2 years ago
.gitattributes
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initial commit
over 2 years ago
README.md
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Update README.md
over 2 years ago
config.json
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1.42 kB
Added more entities to training set and also randomized wine label. Earlier training set was flawed because wine labels were always located at the beginning of the description of the wine and the model trained itself to tag everything in the begining of the description as the wine label.
over 2 years ago
pytorch_model.bin
pickle
Detected Pickle imports (3)
"torch._utils._rebuild_tensor_v2"
,
"torch.FloatStorage"
,
"collections.OrderedDict"
What is a pickle import?
436 MB
xet
Added more entities to training set and also randomized wine label. Earlier training set was flawed because wine labels were always located at the beginning of the description of the wine and the model trained itself to tag everything in the begining of the description as the wine label.
over 2 years ago
special_tokens_map.json
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125 Bytes
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over 2 years ago
tokenizer.json
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711 kB
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over 2 years ago
tokenizer_config.json
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314 Bytes
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over 2 years ago
training_args.bin
pickle
Detected Pickle imports (8)
"transformers.training_args.OptimizerNames"
,
"transformers.trainer_utils.SchedulerType"
,
"accelerate.state.PartialState"
,
"transformers.trainer_utils.IntervalStrategy"
,
"transformers.training_args.TrainingArguments"
,
"accelerate.utils.dataclasses.DistributedType"
,
"torch.device"
,
"transformers.trainer_utils.HubStrategy"
How to fix it?
3.96 kB
xet
Added more entities to training set and also randomized wine label. Earlier training set was flawed because wine labels were always located at the beginning of the description of the wine and the model trained itself to tag everything in the begining of the description as the wine label.
over 2 years ago
vocab.txt
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232 kB
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over 2 years ago