input = train.csv output = (models = text_to_object.h5, text_to_action.h5, text_to_location.h5), (labelencoder_action.npy, labelencoder_object.npy, labelencoder_location.npy), vectorizer = vectorizer.pickle
input = (models = text_to_object.h5, text_to_action.h5, text_to_location.h5), (labelencoder_action.npy, labelencoder_object.npy, labelencoder_location.npy), vectorizer = vectorizer.pickle
output = print(f1_scores)