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Hello, I'm running this code from my local machine. It's a direct fork from this repo. The only updates I've made are to make it compatible with Python3. Are you certain you're seeing ~95% accuracy when running with these hyperparams?:
--classes 5 --shots 5 --train-shots 10 --meta-iterations 100000 --iterations 5 --test-iterations 50 --batch 10 --meta-lr 0.2 --lr 0.001
Because I am not. Here is my final log output:
Meta-train
average metaloss 0.9020509621277452
average accuracy 0.7628000104278326
Meta-val
average metaloss 0.9079857150167226
average accuracy 0.7575000119954347
Any ideas why I may be seeing much lower accuracies? Any input would be appreciated. Thanks.
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