Is There An Example (Preferably With Pytorch) That Includes A Validation Split With Tensorboard(X)? The Examples Only Do Train / Test Splits, Which First Do The Whole Train Step, Then Once The Test Step. While The Validate Step Should Be Similar To Test

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Is there an example (preferably with PyTorch) that includes a validation split with TensorBoard(X)? The examples only do Train / Test splits, which first do the whole Train step, then once the Test step.

While the Validate step should be similar to Test step, I want it to be plotted together with the Train accuracy. What is the proper way of doing this with Trains?

  				
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	4 years ago

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					DefeatedCrab47
				
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Hi DefeatedCrab47

If you are referring to this example, examples/frameworks/tensorboardx/pytorch_tensorboardX.py, it does have only test and train steps.

If you like to plot validation together with the train, you can have the same prefix, for example when using writer.add_scalar('<prefix>/Test_Loss', ...), like in this example - https://demoapp.trains.allegro.ai/projects/bb21d73db5634e6d837724366397b6e2/experiments/f46160152ee54ff9863bb2efe554a6b1/output/metrics/scalar

  				
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	4 years ago

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					TimelyPenguin76
				
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Ah I see, it's based on a naming scheme, thanks. Sorry I forgot to link the tutorial I was looking at: https://allegro.ai/docs/examples/frameworks/pytorch/pytorch_tensorboard/

  				
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