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For questions about the validation loss, i.e. the loss of a model (e.g. a neural network) computed on the validation data (or dataset), which is different from the testing/test data (i.e. the data that you use after having trained your model(s) and selected the best model according to the validation loss/performance).

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Is it okay to calculate the validation loss over batches instead of the whole validation set...

I assume you intended to write compute the evaluation metric over the validation set in batches; you do not compute loss over the validation set! That is quite a standard practice in many academic imp …
anurag's user avatar
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