fixed the tf issue #74564

[sanskarmodi8]

I looked into the issue and found out that after the evaluation we are getting a list of size 4 where only the last one is the accuracy of the export_model. So ignored all the other output to only get the required loss and accuracy

[github-actions]

Preview

Preview and run these notebook edits with Google Colab:

• site/en/tutorials/keras/text_classification.ipynb

Rendered notebook diffs available on ReviewNB.com.

Format and style

Use the TensorFlow docs notebook tools to format for consistent source diffs and lint for style:

$ python3 -m pip install -U --user git+https://github.com/tensorflow/docs

$ python3 -m tensorflow_docs.tools.nbfmt notebook.ipynb

$ python3 -m tensorflow_docs.tools.nblint --arg=repo:tensorflow/docs notebook.ipynb

If commits are added to the pull request, synchronize your local branch: git pull origin fix-tf-issue-74564

[MarkDaoust]

Thanks for the fix!

I actually always prefer return_dict=True because then the response labels each output. It makes it much clearer what's what.

[sanskarmodi8]

Thanks for the fix!

I actually always prefer return_dict=True because then the response labels each output. It makes it much clearer what's what.

Thank you, Mark! I'll keep that in mind and make sure to use return_dict=True moving forward.
It definitely helps in making the output clearer.