I am using doc2vec to generate vectors for sentences in training and testing datasets. The generated vectors are used to classify sentences using ensemble classifiers. The classifier is showing two different accuracies for the doc2vec model trained on same set of parameters.For TF-IDF the accuracy scores are consistent. Does doc2vec produce different set of vectors when trained twice?? How to avoid in-consistency in the accuracy scores of the classifier??
I have used the following set of parameters: min_count=1,window=10,size=100,negative=5,sample=1e-4,workers=7 and number of epochs=10