Tensorboard not displaying all the HParams events

This is my logs directory structure :

There are two Jupyter notebooks running in parallel which have the exact same code except for the prefix of the run-* directory. Both of them dump hparam_tuning metrics in the same directory. Both of them train the same model with same hyper-parameters and metrics, but on different data. My requirement is to view all these runs in same table of tensorboard.

EDIT NOTE : Training data in the code gets generated & processed ONLY once in one notebook for all the runs. I cannot read & process the data multiple times for different runs. Also, both these notebooks run on different GPUs, I want to run them in parallel which is why I cannot run them in one notebook since the runs are sequential.

Tensorboard reads only 9 of the 18 hparam runs that I have in my logs directory :

Although I am able to see the scalars which I am using to monitor the loss, which are in the same log directory. Moreover, the metrics for hyper-parameter tuning are also visible for all the runs under the "Scalar" tab, but not under HPARAMS tab.

EDIT NOTE : I have kept the identifier as another hyper-parameter to view hparam logs generated by both the Jupyter notebooks. It's just for filtering purposes, since there is no feature to filter them via trialId.

Is there any way I can merge the results of different session runs in one table?

Start by reproducing the 18-run setup from the shared logs directory and compare what appears in the HParams and Scalar tabs. Trace the HParams tab's run-discovery and table population path; done means all 18 HParams runs from both notebooks appear together without losing the existing scalar results.