Related Issues (20)
- Padding bugs on data preprocess HOT 2
- How can we use in on test dataset?
- UnicodeDecodeError: 'ascii' codec can't decode byte 0xc2 in position 3793: ordinal not in range(128) HOT 1
- Pretraining with checkpoints HOT 1
- Can you please provide books_large_all.txt? HOT 1
- Can you please provide books_large_all.txt? And also, the pretrained model uncased_L-12_H-768_A-12/bert_model.ckpt? HOT 1
- the total number of trainable parameters in 12 layer BERT HOT 1
- questions for loading the pretrained_model HOT 2
- Question about running the pretrain.py HOT 2
- Masked subword prediction problem
- Usage HOT 1
- How can I get the replacement of 'books_large_all.txt'?
- Running SQUAD HOT 3
- Does this support multi GPU training? HOT 2
- Visualizing the attention weights
- some confusions
- Is GEGLU innovative, or is it derived from a certain paper?
- How much the token-level MLM loss usually is when the bert pre-training stops converging?
- Question About fine-tuning HOT 1
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from pytorchic-bert.