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I know that there is supposed to be '<unk>' in the vocabulary so that in testing or in evaluation using validation data, the '<unk>' token will be mapped to a vector of zeros(in the glove vectors).
But I don't see that in this project. Am I right? I am still new in deep learning so maybe i am wrong 😅
in the create_dictionary() function you are using all the datasets to build the vocabulary. Shouldn't we only use the train dataset? Please correct me if I am wrong 😅
The text was updated successfully, but these errors were encountered:
I know that there is supposed to be '<unk>' in the vocabulary so that in testing or in evaluation using validation data, the '<unk>' token will be mapped to a vector of zeros(in the glove vectors). But I don't see that in this project. Am I right? I am still new in deep learning so maybe i am wrong 😅 in the create_dictionary() function you are using all the datasets to build the vocabulary. Shouldn't we only use the train dataset? Please correct me if I am wrong 😅
I also encountered the same problem, have you solved it?
I know that there is supposed to be
'<unk>'
in the vocabulary so that in testing or in evaluation using validation data, the'<unk>'
token will be mapped to a vector of zeros(in the glove vectors).But I don't see that in this project. Am I right? I am still new in deep learning so maybe i am wrong 😅
in the
create_dictionary()
function you are using all the datasets to build the vocabulary. Shouldn't we only use the train dataset? Please correct me if I am wrong 😅The text was updated successfully, but these errors were encountered: