Comments (2)
Now I have a reason.
I misunderstand that min count is the minimum size of vocabulary.
thank you
from bert-vocab-builder.
Closed as it seems to have been solved.
from bert-vocab-builder.
Related Issues (15)
- If I change the min_count flag in order to produce vocab of size same bert's original vocab: can I then use this new vocab to pretrain from a checkpoint, or I have to train from the scratch? HOT 8
- Windows fatal exception: access violation
- error in running ALBERT create_pretraining_data.py HOT 2
- Corpus preprocessing steps HOT 5
- splitting strategy in tokenize.py HOT 3
- BERT trained on custom corpus HOT 1
- I am getting an error while running vocab builder. HOT 2
- Unable to understand the input format and also the generated output HOT 4
- Merge conflict markers are still there… HOT 2
- Not accurate sub-words for German HOT 1
- Should I match the vocabulary size with bert_config.json HOT 2
- Projects using this and evaluation results HOT 2
- AttributeError: module 'tensorflow.io' has no attribute 'gfile' HOT 2
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