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Same sentence produces a different vector in XLNet #63

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anoopkdcs opened this issue Jan 7, 2021 · 0 comments
Open

Same sentence produces a different vector in XLNet #63

anoopkdcs opened this issue Jan 7, 2021 · 0 comments

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@anoopkdcs
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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.
@anoopkdcs anoopkdcs changed the title Same sentence has a different vector in XLNet Same sentence produces a different vector in XLNet Jan 7, 2021
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