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dump the training dynamics to json

Hi,

Thanks for the nice work!

I have a question about L149:

] for i, guid in enumerate(correctness_)], columns=column_names)

I don't understand why you are enumerating over correctness_ .
I might misunderstand something, but I think you should iterate over all the guids instead.
Otherwise, you cannot dump the statistics of the entire training set as guid in this loop only has 1 + Epoch possible values.

  df = pd.DataFrame([[guid,
                      i,
                      threshold_closeness_[guid],
                      confidence_[guid],
                      variability_[guid],
                      correctness_[guid],
                      forgetfulness_[guid],
                      ] for i, guid in enumerate(correctness_)], columns=column_names)

Thank you!

cartography

hi
Is it normal to take 4 hours for installing cartography package?

Details regarding the hack used in run_glue.py

Thanks a lot for the paper. It was an interesting read. I wanted to know more about the hack which you have used in run_glue.py in line number 146 # HACK(label indices are swapped in RoBERTa pretrained model). Could you please explain more in this regard?

Multi-label task

Hi. Thanks for the repo. Does the code support multi-label text classification task?

Work With Other Datasets

Hi! This looks like a very interesting tool, I am wondering if it would be easy to use on other datasets. I see only GLUE/NLI datasets are supported. Do you have any tips on how to use this on a simple {TEXT, LABEL} task? Thanks!

Data source

Could you please tell me where to get the same data as your example? Thanks!

Package installation issue

Hi,
I am facing issue in installing the correct huggingface transformers version as the git branch in the requirements has been deleted. Could you please update the requirements.txt.
Regards,
Aswin

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