Twitter Bots Example Overfits "Out-of-the-Box"

[Quinn-Meyer-Sustainment]

I am running the Google Colab example of Ludwig-AI Multimodal Classification from the Twitter Bots Kaggle dataset. You can get the Python API Colab link directly from Ludwig AI's documentation here.

I do not edit anything in the Colab notebook at all, I simply 'Run All Code Cells' and my model over fits on the training data.

You can find my training results here:
training_results.txt

And evaluation images here:

Colab is running Python 3.10.12
and the pip freeze can be found here:
pip_freeze.txt

Do I need to tune parameters under the hood, or should it simply be working out of the box?

[Quinn-Meyer-Sustainment]

Forgot to mention that the example clearly shows the model training on Kaggle data converging quite nicely... See the evaluation images here.

[Edited for semantics]