1. Monitor OutOfMemoryError in the application console/logs to check whether the heap space needs to be increased.
2. Check your IDE console for out-of-memory errors. If there are out-of-memory errors, then add VM options to your IDE to increase the Java memory heap. 
3. Monitor StackOverflowError while running Word2Vec models. Watch out for the following error:

This error can happen because of unwanted temporary files in a project.

4. Perform hyperparameter tuning for Word2Vec models. You might need to perform multiple training sessions with different values for the hyperparameters, such as layeSize, windowSize, and so on.
   
5. Derive the memory consumption at the code level. Calculate the memory consumption based on the data types used in the code and how much data is being consumed by them.