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New auto-test result @adolphk-yk tasks GPU/CPU old accuracy/AUC new accuracy/AUC
english_text_matching GPU 0.96655 0.97075
english_text_matching CPU 0.96655 0.97075
chinese_text_matching GPU 0.70001 0.7
chinese_text_matching CPU 0.70001 0.7
quora_question_pairs GPU 0.72596 0.721861
quora_question_pairs CPU 0.72596 0.721861
knowledge_distillation CPU 0.66329 0.6580784722222223 |
adolphk-yk
approved these changes
Aug 2, 2019
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There are two major updates in this PR.
Now encoding cache mechanism is supported. It's a lazy-build progress. So we will build it in the first epoch and then reuse it in the rest epoch.
We will load chunk_size cases to train in every part of an epoch avoiding out of memory in large training data