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Hello, it's not that semi supervised learning like mixmatch can't be used on unbalanced data sets？ #5

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ghost opened this issue Dec 10, 2020 · 0 comments
Open

Hello, it's not that semi supervised learning like mixmatch can't be used on unbalanced data sets？ #5

ghost opened this issue Dec 10, 2020 · 0 comments

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@ghost
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ghost commented Dec 10, 2020 •
edited by ghost

Hello, it's not that semi supervised learning like miamache can't be used on unbalanced data sets. I use it on my own data set. the test set accurate rises by 2 epochs and then decreases continuously. However, the loss of training set is declining. What's the matter? Is my dataset too unbalanced
@ghost ghost changed the title Hello, it's not that semi supervised learning like miamache can't be used on unbalanced data sets. I use it on my own data set. The test set is accurate, and the test set rises by 2 epochs and then decreases continuously. However, the loss of training set is declining. What's the matter? Is my dataset too unbalanced Hello, it's not that semi supervised learning like miamache can't be used on unbalanced data sets？ Dec 10, 2020
@ghost ghost changed the title Hello, it's not that semi supervised learning like miamache can't be used on unbalanced data sets？ Hello, it's not that semi supervised learning like mixmatch can't be used on unbalanced data sets？ Dec 10, 2020
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