execution speed degrades with increasing sizes of datasets to be annotated
fhamborg opened this issue · 3 comments
fhamborg commented
during the annotation process of a 10k sized dataset that is to be annotated, the speed degrades. im unsure whether this due to openai's api, e.g., rate limits, or caused by our code, e.g., non-linear complexity, e.g., in the _inner_loop function (?)
HallerPatrick commented
I can look into this
HallerPatrick commented
fhamborg commented
Thanks for looking into this. Could very well be, just had this feeling
when randomly looking at the progress. We can close the issue then.
Patrick Haller ***@***.***> schrieb am Mo., 24. Juli 2023,
15:49:
… Looks rather constant to me over 25k (unlabelled text generation)
Figure_1.png (view on web)
<https://github.com/flairNLP/ai-dataset-generator/assets/22773355/b3579bd7-8d42-4cc6-8435-c7c92f73febc>
figure_2.png (view on web)
<https://github.com/flairNLP/ai-dataset-generator/assets/22773355/aacfe9cb-35e4-4573-99c1-3916a0054b48>
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