“MAX_ITER=20000” during meta-test in Tensorflow code

[licj1]

Hello,
Thanks for your excellent work.

I have a question about "MAX_ITER = 20000" during meta-test in TensorFlow, MAML's meta-test was only done once, why do you need to do yours for MAX_ITER times? And in this way, how to get the final results?

Thanks for your time and look forward to your reply soon!

[yaoyao-liu]

Thanks for your interest in our work!

Running the following loop won't execute the meta-test for MAX_ITER times. It will only execute the meta-test for each saved model:

meta-transfer-learning/tensorflow/run_experiment.py

Lines 105 to 106 in 5c12cc4

	for idx in range(MAX_ITER):
	if idx % SAVE_STEP == 0:

If you have any further comments, please feel free to add comments here.

[licj1]

Thanks for your interest in our work!

Running the following loop won't execute the meta-test for MAX_ITER times. It will only execute the meta-test for each saved model:

meta-transfer-learning/tensorflow/run_experiment.py

Lines 105 to 106 in 5c12cc4

	for idx in range(MAX_ITER):
	if idx % SAVE_STEP == 0:

If you have any further comments, please feel free to add comments here.

Thanks for your prompt reply.
So can I perform the meta-test based on the saved model with the last iteration and use this result as the final result?

[yaoyao-liu]

@licj1

You may see the meta-test accuracy for each saved model, respectively.
I'm not sure what you mean by "final result".
If you hope to know which models correspond to the results reported in the paper, you may see "Section 5.3 Results and analysis".

Please feel free to add comments here if you have any further comments.