ELMO-classifier finetune

Hello! I use Elmo for sentiment analysis (rusentiment_elmo_twitter_cnn). I need to fine-tune this model on my data, and I had some questions:
Is it possible to fine-tune this particular model? For fine-tune should i change the paths to data and launch with python -m deeppavlov train <config_file>? Can I customize just the classifier? How can I freeze some layers, specify the learning rate, etc.?