Will two models trained on the same data behave the same all times?

Hello, if I train models with the same NLU data and stories/rules, will these models behave identical or will there be differences because there is “probability” involved?

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This depends on your configuration! If you are using components like: DIETClassifier, ResponseSelector, … and policies like TEDPolicy you will get reproducible results only if you set random_seed to an int. Then models that were trained on the same data, configuration, rule, story, and have the same value for random_seed for a particular component or policy will behave identically.

Note that the random seed only needs to have the same value across a components or across a policy meaning, for example, the random seed for DIETClassifier could be 134 and the random seed for TEDPolicy could be 125.

You can check the possible parameters for a component or policy to see whether random seed can be set or not.

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