Hyper-parameters of the baselines presented in the paper

[Jacobew]

Hi, I'm trying to reproduce the results of video-level-feature-based model (i.e., Logistic Regression, MoE), but cannot find specific hyper-parameter settings in the github repo. Do they share the same default settings (lr, epoch, optimizer, etc) defined in the dataset flags? Besides, I find no instructions on how we can train video-level-feature-based model (only FrameLevelLogisticModel is left as an example).
I will really appreciate it if the running scripts and the corresponding settings can be provided.