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The baseline linear model achieves ~81% validation accuracy.
The TabTransformer model achieves ~85% validation accuracy.
I ran the colab as-is with no modifications and the accuracy numbers don't match the above - I get 83.78% and 82.8% for the baseline and the TabTransformer model respectively i.e. the TabTransformer underperforms the baseline :-(.
(If random seeds had been set in the notebook, perhaps this could be avoided)
The text was updated successfully, but these errors were encountered:
In Structured data learning with TabTransformer, we have the following:
I ran the colab as-is with no modifications and the accuracy numbers don't match the above - I get 83.78% and 82.8% for the baseline and the TabTransformer model respectively i.e. the TabTransformer underperforms the baseline :-(.
(If random seeds had been set in the notebook, perhaps this could be avoided)
The text was updated successfully, but these errors were encountered: