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DeeBert models need to be fine-tuned in a two step fashion: first the final layer and then the ramps.
The current implementation requires the user to do two different training. However, this can be achieved in one-shot using a pl.Callback, as done for TheseusBert.
The text was updated successfully, but these errors were encountered:
DeeBert models need to be fine-tuned in a two step fashion: first the final layer and then the ramps.
The current implementation requires the user to do two different training. However, this can be achieved in one-shot using a
pl.Callback
, as done for TheseusBert.The text was updated successfully, but these errors were encountered: