hello guys!
I want to design a binary classifier,
I have a dataset with size 5000 and 3 columns (
‘text_a’ a vector with 1024 numbers(this is the output of Roberta),
‘text_b’ a vector with 1024 numbers,
‘label’ 0/1)
in each row, if the text_a and text_b be similar the label would be 1 otherwise it would be 0.
I want to design a classifier that gives 2 inputs, each input with size 1024 but I can’t.
could you help me how should be the first layer? or the whole model?