N-shot Training

[kerem0comert]

Hello,
I would very simply like to train a model with the subsample you provide. I could get it to run by following the README.
At the root of the project I have:
ann_subsample/
subsample/
which I simply downloaded from the README and extracted. From the root of the project, I am running:

python -m classifier.run --command train --path_to_config classifier/config/default.yaml

At this point, I am able to train.

However, I would also like to train n-shot models, where I take n<5 samples per class and train with it. Then I would like to test this model. What would be the procedure for this? Because from what I see, no parameter to set train_test_percentage is provided in default.yaml. Ideally I would like to set train percentage at 1 in training (where the dataset is a subsample of let's say 3 images per gesture class) and then test it on another dataset (perhaps the test that you already provide)
How can I achieve this? Thanks!

[kerem0comert]

Rather, I can ask the following:
I see that when training is complete, a pth model is saved under experiments/{model.name}/best_model.pth (I guess one is also saved each epoch?)
How to configure the params as such this pth model is used in the test?