# How to interpret training evaluation?

**URL:** <https://community.konduit.ai/t/how-to-interpret-training-evaluation/1074>\
**Category:** Tuning Help\
**Created:** [December 24, 2020, 2:28am UTC](https://community.konduit.ai/t/how-to-interpret-training-evaluation/1074 "2020-12-24T02:28:24Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![fletchni](https://avatars.discourse-cdn.com/v4/letter/f/5fc32e/32.png) [@fletchni](https://community.konduit.ai/u/fletchni)\
**Post date:** [December 24, 2020, 2:28am UTC](https://community.konduit.ai/t/how-to-interpret-training-evaluation/1074/1 "2020-12-24T02:28:24Z")

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Hello everyone,  
Im using an RNN with LSTM layer to make predictions on a stock, and I also implement the deeplearning4j UI while training. The charts look very bumpy, which I know the fact that I am predicting stocks will somewhat cause this, but it looks very different from the pictures on the deeplearning4j website. Here is what the UI dashboard looks like after a good amount of training: [Imgur: The magic of the Internet](https://imgur.com/a/AczgSIn) .

My question is what is causing the bumpiness, especially in the bottom two graphs? The top graph from what I have seen isn’t too bad. Also at the end of training I evaluate the model on the test data, and this is the result i get: [Imgur: The magic of the Internet](https://imgur.com/a/7ikw1Fv) . It doesn’t look too bad from what I can tell. But could anyone give their take on those stats too?