Training batches for imbalanced datasets

[antriksh63]

I have an imbalanced data set with around 100 entries of positive class and 4000 entries of negative class. One way to create the training batches would be to take 100 entries of positive and 100 entries of negative class and then allow the code to proceed as normal. However, this has high chances of overfitting.
I think one thing that can be done is to have equal number of entries of positive and negative entries in the training batch.( batch_size/2 positive and negative entries). How can I do this?

[self-ms]

If your data is embedded and labels are available, you can use the following repository:
https://github.com/ms-unlimit/Transformer-Based-Machine-Learning-Framework

[xuqiangxq]

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[liangtingStduy]

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