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I think the way to do that is to run Trainer.test() before you start training. I would actually like the possibility of performing validation also when training starts, so that when I'm doing transfer learning, I would see the initial state in the validation curves. However, I think you have to perform a separate inference round. |
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Hi,
I would like to perform one full round of inference before the training starts on the training dataset. What is the easiest and optimal way to do that?
TIA.
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