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您好~我想請問一下 1.模型輸入的seqs[:,:-1]是過去的一句話,而seqs[:,-1]是需要預測的真實值,但是如果句子沒有那麼長,之後會被padding與長度最長的句子數量相同,seqs[:,-1]不就都拿到padding值嗎~~ 2.若設計為每一批次以最長句子而非整個文本最長句子為該批次的step長度(時間長度),能解決上述問題嗎? 希望收到您的回覆!!!!!!!!!!!!!!!!!!!!謝謝
The text was updated successfully, but these errors were encountered:
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您好~我想請問一下
1.模型輸入的seqs[:,:-1]是過去的一句話,而seqs[:,-1]是需要預測的真實值,但是如果句子沒有那麼長,之後會被padding與長度最長的句子數量相同,seqs[:,-1]不就都拿到padding值嗎~~
2.若設計為每一批次以最長句子而非整個文本最長句子為該批次的step長度(時間長度),能解決上述問題嗎?
希望收到您的回覆!!!!!!!!!!!!!!!!!!!!謝謝
The text was updated successfully, but these errors were encountered: