hmohebbi / valuezeroing Goto Github PK
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The official repo for the EACL 2023 paper "Quantifying Context Mixing in Transformers"
First of all, thanks for sharing the code! I'm trying to use ValueZeroing on some experiments, and I noticed that the class BertForMaskedLM
has the parameter target_index
initialized as None and used in this line:
# Added by Hosein
prediction_scores = prediction_scores[torch.arange(prediction_scores.size(0)), target_index]
But in the demo it is not passed to the model during the forward pass, so it remains None (changing the dimensions of prediciton_scores
?). So, what is this parameter used for? What am I missing?
Thanks a lot in advance,
Luca
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