Preparing fine-tune data for Marian about opus-mt-train HOT 2 OPEN

That looks OK to me. You don't need to use the same sentence splitting and data pre-processing pipeline except for the subword segmentation with the sentence piece models (as you do above). It could happen that the data will include some characters, which are not part of the vocabulary. That could be a slight problem but I am not sure whether this will really happen. Make sure that you do not fine-tune for too long. Otherwise, you overfit to the fine-tune data and start forgetting the pre-trained information.

In any case, don't retrain the sentence piece models. If you do that then the segmented data will most probably not match the vocab file and you will get unknowns.

from opus-mt-train.

@JoeTseHot Were you able to get the Finetuning working? If so do you have any advice/scripts I could use? I am hoping to finetune some models too and am having trouble with the finetune process outlined in OPUS-MT-train. Thank you!

from opus-mt-train.