Rachnas
Rachnas
You need to see mode.value if you are running TF version > 1.4.
Provide name of predict feature file like: --predict_feature_file=, file with this name will get created.
Thanks @s4sarath and @np-2019, I am able to process data with 30k-clean.model. I also incorporated convert_examples_to_features from XLNet with other changes. I am not bypassing SP model.
> The trained model is uncased, so the returned value of `do_lower_case` in `create_tokenizer_from_hub_module()` is `True` > > But in `class FullTokenizer`, when `spm_model_file` is not None, the current code...
Sharing my learning, using XLNet pre processing will not help. As sequence of tokens in XLnet and Albert differs. SQUAD2.0 will get pre processed but training will not converge. Better...
@np-2019 , Its very nice that you are able to reproduce the results successfully. according to XLnet paper: section 2.5: "We only reuse the memory that belongs to the same...
I am also looking for these datasets for pre-training Bert model. Any update about data availability?
@jeffra Thank you!