How can I continue training on the same data after recovering from the state in the serialisation_dir?

My computer unexpectedly crashed during training, so I ran the train command with the -r flag to recover the training. However the command just creates the model.tar.gz folder from the checkpoint and does not resume training. Should I just re-run the command train specifying as serialisation directory the one where the newly-created model.tar.gz is?