I want to finetune a transformer model using OpenNMT for a project. However, I have never worked with it before and couldn’t find any relevant tutorial. Any resource or lead would be helpful.
there are a lot of threads where this is discussed, e.g.:
https://forum.opennmt.net/t/finetuning-and-curating-nllb-200-with-opennmt-py/5238/52
In these discussions they usually describe the configuration used and the result. Or for example if you visit the opennmt github page, there is a tutorial section.
But ymoslem also has a separate github repo with configuration for a new model, but a good starting point for fine tuning GitHub - ymoslem/OpenNMT-Tutorial: Neural Machine Translation (NMT) tutorial. Data preprocessing, model training, evaluation, and deployment..