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I'm wondering if this line for computing the F1 score is a bug (flipped order of truth and pred), or it's because of how your data is set up. If so, could you elaborate?
Greetings! Thank you very much for pointing it out -- it is indeed a bug of evaluating the F1 score in MOSEI sentiment and I have corrected the code. Using the correct version, I can obtain an F1 score of over 82% within 20 epochs on MOSEI sentiment, using the default run.sh in the Github page, which is even better than the reported number in the paper (81.8%). More hyper-parameter tuning might help the performance.
Hello, thank you for releasing the code!
I'm wondering if this line for computing the F1 score is a bug (flipped order of truth and pred), or it's because of how your data is set up. If so, could you elaborate?
A similar issue is raised here.
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