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Hi, first thanks for your repo! I have two questions:
1- I understand that "leaks features" are like common characters between sentences in each pair or something like this? I I'm trying to train the model with vector similarity directly instead of sentence similarity, do you guess I can remove the leaks part from the model?
2- How is the accuracy measured? I guess that the sigmoid is outputting a number between 0 and 1, so how is the accuracy measured, considering 1 if the value is >0.5 and 0 else?
Thanks!
The text was updated successfully, but these errors were encountered:
Hi, first thanks for your repo! I have two questions:
1- I understand that "leaks features" are like common characters between sentences in each pair or something like this? I I'm trying to train the model with vector similarity directly instead of sentence similarity, do you guess I can remove the leaks part from the model?
2- How is the accuracy measured? I guess that the sigmoid is outputting a number between 0 and 1, so how is the accuracy measured, considering 1 if the value is >0.5 and 0 else?
Thanks!
The text was updated successfully, but these errors were encountered: