Hi,
I’m getting the following error when training a transformer with source features. I only have one feature per token.
ValueError: Cannot use sin/cos positional encoding with odd dim (got dim=515)
Hi,
I’m getting the following error when training a transformer with source features. I only have one feature per token.
ValueError: Cannot use sin/cos positional encoding with odd dim (got dim=515)
You probably want to set both --word_vec_size
and --feat_vec_size
to make the total embedding size an even size.
So, if --word_vec_size
is 512 and I have 3 possible values for the feature it sums up to 515. Therefore, I should set --feat_vec_size
for example to 8, in order to have a 520 dimension. Am I right?
Yes, this should work.