# Grading issues C1W4

**URL:** <https://community.deeplearning.ai/t/grading-issues-c1w4/477448>\
**Category:** Introduction to TF for Artificial Intelligence ...\
**Tags:** week-module-4\
**Created:** [October 25, 2023, 9:56pm UTC](https://community.deeplearning.ai/t/grading-issues-c1w4/477448 "2023-10-25T21:56:57Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![Becky\_Edwards](https://avatars.discourse-cdn.com/v4/letter/b/ea5d25/32.png) [@Becky\_Edwards](https://community.deeplearning.ai/u/Becky_Edwards)\
**Post date:** [October 25, 2023, 9:56pm UTC](https://community.deeplearning.ai/t/grading-issues-c1w4/477448/1 "2023-10-25T21:56:57Z")

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Hi,

My model has achieved over 99.9% at 13 epoch and have no flags in my code. However my grade says I’ve failed. Any tips?

 ![image](https://global.discourse-cdn.com/dlai/original/3X/5/7/57a7af782e9c0a89ab974f7f49ff7c2583accf7e.png)  
 ![image](https://global.discourse-cdn.com/dlai/original/3X/6/4/64ddc1321e34478b5fe52ab9a9ba69e09604a231.png)

Thank you!

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**Author:** ![TMosh](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/tmosh/32/9321_2.png) [@TMosh](https://community.deeplearning.ai/u/TMosh)\
**Post date:** [October 25, 2023, 9:58pm UTC](https://community.deeplearning.ai/t/grading-issues-c1w4/477448/2 "2023-10-25T21:58:41Z")

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I’m not a mentor for that course, but maybe this helps.

- The grader uses a different test case.
- Perhaps you’ve over-optimized your model parameters for the data set in the notebook, but that causes underfitting for the grader’s test case.

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<div class="post-metadata">

**Author:** ![Becky\_Edwards](https://avatars.discourse-cdn.com/v4/letter/b/ea5d25/32.png) [@Becky\_Edwards](https://community.deeplearning.ai/u/Becky_Edwards)\
**Post date:** [October 25, 2023, 10:15pm UTC](https://community.deeplearning.ai/t/grading-issues-c1w4/477448/3 "2023-10-25T22:15:59Z")

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Thank you! I ended up playing around with some parameters. I ended up passing but it still says that I didn’t get it in the number of epochs when the model says it does. More tuning must be needed.
