Comments (2)
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Yes, the scores are test F1 values at highest validation F1 values.
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Yes exactly. If you have a look at the Section 5.1 and Figure 12 in our paper, you would notice that the performance is heavily dependent on the batch size. In DailyDialog, smaller batch size results in poorer performance. I would also suggest that you run each experiment several times and take the average of the results to obtain results closer to ours.
from dialogue-understanding.
Thanks for the kind and quick reply.
from dialogue-understanding.
Related Issues (9)
- A problem. HOT 3
- A question about DialogRNN HOT 2
- CNN extractor Prob. HOT 3
- About DialogueRNN performance Prob. HOT 4
- Typo in model.py "featutes" instead of "features" HOT 1
- I have a question during the training process. HOT 4
- the Label Shift part is quite confusing to me and the code does not contain this part HOT 2
- How to run NN and model on novel input data? HOT 3
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from dialogue-understanding.