Using sliding window with Classification Model (BERT) and am now getting an error

[superqd]

Describe the bug I'm re-running some training, though I've reinstalled simpletransfomers on a new machine, so maybe something has changed, but I'm using the sliding_window = True param for the ClassficationArgs, with a BERT model, and it now throws warnings/errors saying "Token indices sequence length is longer than the specified maximum sequence length for this model (708 > 512)" and so on.

Before moving to the new machine (which is Linux), I never saw this issue before, but now on the new machine, I am getting it all the time.

Expected behavior I would expect that using the sliding_window parameter would avoid this sort of warning / error.

Screenshots If applicable, add screenshots to help explain your problem.

Desktop (please complete the following information):

• OS : Linux (Ubuntu 20.4)

[ThilinaRajapakse]

Is it a warning or error? It's likely a check that got added to the Huggingface library in a recent update. I'll take a look later.

[superqd]

I believe it came back as an error.

[stale[bot]]

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