How to log hyperparams, so they can be viewed in "HPARAMS" tab of Tensorboard?

[adosar]

I am trying to log my hyperparameters with their metric values, so I can view them (compare runs with different hparams) under the "HPARAMS" tab of Tensorboard.

From the docs (I don't know if there is something more relevant), I tried the following snippet:

# Using custom or multiple metrics (default_hp_metric=False)
def on_train_start(self):
    self.logger.log_hyperparams(self.hparams, {"foo_metric": 0})

def validation_step(self, batch, batch_idx):
    self.log("foo_metric", some_scalar_1)

However, I am getting the following:

TLDR
Is there any way to get the output of add_hparams with Pytorch Lightning?