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@RalfG RalfG commented May 17, 2025

  • Renames the tutorial to a more fitting title
  • Added metadata
  • Added tutorial contents

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@bebatut bebatut left a comment

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Here is my review with some suggestions
Could you add the previous path in bin/check-url-persistence.sh here:
https://github.com/galaxyproject/training-material/blob/main/bin/check-url-persistence.sh#L32?
Thanks a lot

shiltemann and others added 2 commits December 4, 2025 17:03
@shiltemann shiltemann marked this pull request as ready for review December 4, 2025 16:06
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Thanks a lot @RalfG! and thanks for the review @bebatut.

I took this out of draft mode so the tests would run, is it ready from your side @RalfG or did you have more you wanted to add?

> Try to access the first 10 samples of the dataset.
>
> > <question-title></question-title>
> > What do you see?
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Could you add an answer to this question box?


Of course, we want to train the model for multiple *epochs*. An epoch is a complete pass through the training data. In each epoch, we will go through all the batches of data in the `DataLoader` and perform the training steps described above. Additionally, we want to see how the model is performing on the *validation set*. To do this, we will perform a single forward step with the current model on a validation dataset and compute the loss after each epoch.

*Question: What is the difference between a validation set and a test set? Why do we need both? When do you use one over the other?*
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question box?

> > <question-title></question-title>
> > 1. How does the model perform?
> > 2. Is it better than the previous model?
> {: .question}
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@shiltemann shiltemann Dec 4, 2025

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could you add the solutions in a solution box?

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3 participants