Calculate perplexity of word2vec model

问题:

I trained Gensim W2V model on 500K sentences (around 60K) words and I want to calculate the perplexity.

1. What will be the best way to do so?
2. for 60K words, how can I check what will be a proper amount of data?

Thanks

回答1:

If you want to calculate the perplexity, you have first to retrieve the loss. On the gensim.models.word2vec.Word2Vec constructor, pass the compute_loss=True parameter - this way, gensim will store the loss for you while training. Once trained, you can call the get_latest_training_loss() method to retrieve the loss.

Since the loss in the cross-entropy loss of the skip-gram model, 2 to the power of the loss will give you the preplexity. (2**loss)