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Thanks for sharing your code. I learned a lot from it. But I have two confusions about the experiment for 5way 1shot under mini-imagenet.
1.the first is about the save interval you used in experiments. If you use save interval as default = 300000, when you finished experiment, you will not save any models. How can I save the parameters of the models?
2.After 80,000 iterations of training, why not use the model parameters with the highest accuracy on the validation set but use the 80,000th model parameters for test after training?
The text was updated successfully, but these errors were encountered:
Dear author
Thanks for sharing your code. I learned a lot from it. But I have two confusions about the experiment for 5way 1shot under mini-imagenet.
1.the first is about the save interval you used in experiments. If you use save interval as default = 300000, when you finished experiment, you will not save any models. How can I save the parameters of the models?
2.After 80,000 iterations of training, why not use the model parameters with the highest accuracy on the validation set but use the 80,000th model parameters for test after training?
The text was updated successfully, but these errors were encountered: