# Rasa X behaving strangely since upgrading it to the latest version

**URL:** <https://forum.rasa.com/t/rasa-x-behaving-strangely-since-upgrading-it-to-the-latest-version/35817>\
**Category:** \[Deprecated\] Rasa X Community Edition\
**Created:** [October 13, 2020, 10:38am UTC](https://forum.rasa.com/t/rasa-x-behaving-strangely-since-upgrading-it-to-the-latest-version/35817 "2020-10-13T10:38:39Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![Chidi\_251](https://avatars.discourse-cdn.com/v4/letter/c/e0b2c6/32.png) [@Chidi\_251](https://forum.rasa.com/u/Chidi_251)\
**Post date:** [October 13, 2020, 10:38am UTC](https://forum.rasa.com/t/rasa-x-behaving-strangely-since-upgrading-it-to-the-latest-version/35817/1 "2020-10-13T10:38:39Z")

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Since I upgraded to the latest Rasa X Version: Rasa X 0.32.2, I’ve noticed some strange behaviour.

Whenever I train my Rasa X model, it always trains 3 different versions of the same model.

Another strange thing that happens, is that the UI tells me the training has failed even though the training continues (I checked the rasa x logs) and when I refresh the model page in the UI, I can see the 3 new models.

Lastly, whenever I make a change in the domain file, I have to click save changes several times for the change to be saved.

For more context:

My rasa x is deployed on Amazon EKS.

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**Author:** ![Chidi\_251](https://avatars.discourse-cdn.com/v4/letter/c/e0b2c6/32.png) [@Chidi\_251](https://forum.rasa.com/u/Chidi_251)\
**Post date:** [October 29, 2020, 4:01pm UTC](https://forum.rasa.com/t/rasa-x-behaving-strangely-since-upgrading-it-to-the-latest-version/35817/2 "2020-10-29T16:01:52Z")

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Still need help with this please

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**Author:** ![Chidi\_251](https://avatars.discourse-cdn.com/v4/letter/c/e0b2c6/32.png) [@Chidi\_251](https://forum.rasa.com/u/Chidi_251)\
**Post date:** [January 18, 2021, 12:22pm UTC](https://forum.rasa.com/t/rasa-x-behaving-strangely-since-upgrading-it-to-the-latest-version/35817/3 "2021-01-18T12:22:24Z")

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I had to result to training my rasa x chatbot model on a running instance on was and then upload my trained version to the server.
