Currently trying to figure out how to extend clearML's automagical reporting to JoeyNMT.
https://github.com/joeynmt/joeynmt/blob/master/joey_demo.ipynb is a Colab notebook demoing JoeyNMT. I added the pip install clearml and clearml-init and from clearml import Task and task = Task.init(project_name="project name", task_name="Esperanto_Bert_2") lines to the beginning. !python -m joeynmt train transformer_epo_eng_bpe4000_reload.yaml is the line that starts the training That line outputs lots of information like epoch number, etc. It also creates a tensorboard folder. However, the epoch number, validation loss, and so forth don't seem to be caught. Is there a way to specify "pay attention to this tensorboard folder"? /content/models/epo_eng_bpe4000_transformer/tensorboard is the path to the tensorboard folderEdit for future users: you have to do the training in the same python process where clearml was imported. So something like:
from joeynmt.training import train train("transformer_epo_eng_bpe4000.yaml")will work