Same sentence produces a different vector in XLNet

[anoopkdcs]

While running the same sentence using 'XLNet' and 'xlnet_base_cased', the model produces different embeddings.
for example; if
vec1 = en.encode(texts=['he is anger'],pooling='reduce_mean')
vec2 = en.encode(texts=['he is anger'],pooling='reduce_mean')
both the vec1 and vec2 have different embedding vectors.