I’m new in tensorflow and I have little problem during in-domain adaptation.
I trained my general model with
source_embedding:de.wiki.bpe.d300, so my general model has 300 dimension.
Now when I want to retrain my model with new vocab, I don’t set embedding anymore (I supposed it’s not necessary anymore) I get error which there is dimension diferences between these two model. So if I set previouse embedding, everything works correctly.
How can I set the dimension of my new model to 300? or is it necessary to use previus embedding while i want to adapt my indomain model?