Comments (3)
Hi, I have updated the readme and fixed the bug in "main.py" . You can prepare the data according to the instructions. Thanks~
from ioi.
Thanks. Now I used your data, although needed to train word2vec myself. However, the result was worse than before (after ~12h of training):
Dev results..........
('pred_scores: ', 500000)
Step: 38000 | loss: 4.260 | acc: 0.803 | 2019-09-20 03:35:54
recall_2_1: 0.830
recall_at_1: 0.541
recall_at_2: 0.683
recall_at_5: 0.867
Maybe the default parameters aren't quite optimal. I'll do some additional testing.
from ioi.
Hi, I provided the link of word2vec file in "download.sh". You may adjust the LR strategy, which has a great impact on the performance of IOI. In our experiment, we set decay_steps = 5000 when batch_size is 20.
from ioi.
Related Issues (4)
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from ioi.