The fine-tune subcommand is used to continue training (or fine-tune) a model on a different dataset than the one it was originally trained on. It requires a saved model archive file, a path to the data you will continue training with, and a directory in which to write the results.

Run allennlp fine-tune --help for detailed usage information.