i used run_pretraining.py (https://github.com/google-research/bert/blob/master/run_pretraining.py) python script in tensorflow version 1.15.5 version before. I use Google cloud TPU, as well.
Is it possible or any python script for BERT pre-training from scratch on TPU using tensorflow version 2.x ?
BERT pre-training from scratch with tensorflow version 2.x
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Yes you can use NPL library from TF2 model garden.
The instructions for creating training data and running pretraining are here: nlp/docs/train.md#pre-train-a-bert-from-scratch.
You can also follow BERT Fine Tuning with Cloud TPU tutorial with some changes to run pretraining script instead of fine tuning.
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