vrd-dsr
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Question about the experiments result
hi~ i have re-implement your code on vrd with the default parameters , and getting a result。The result does not accord with the paper, and the result as follows:
Epoch Pre R@50 ZS R@100 ZS Rel R@50 ZS R@100 ZS
0 77.8957 57.4486 88.653 76.7123 15.6669 4.90534 19.4686 8.0895
1 77.3978 57.2774 89.0068 76.113 10.4446 5.85198 14.0226 8.43373
2 77.3978 58.7329 89.1116 76.9692 7.22178 6.36833 10.6288 8.26162
3 75.4193 58.3904 88.0372 76.4555 6.03788 6.45439 8.98448 8.43373
4 74.8035 59.161 87.9586 76.1986 5.41963 6.19621 8.43199 8.0895
5 74.5283 57.6199 87.8407 76.1986 5.51171 5.76592 8.14259 8.17556
6 74.5676 57.6199 87.8407 76.4555 5.45909 5.93804 8.18206 8.26162
7 72.2615 58.3048 86.3732 76.1986 5.196 5.85198 7.72165 8.26162
8 71.3574 56.9349 85.9801 75 5.02499 5.5938 7.78742 8.34768
9 71.6195 57.5342 85.9801 75.6849 4.74875 5.5938 7.51118 8.34768
At the same time , when i cancel the note of reading the file "parms_em.pkl" , and initializing the "self.emb", the performance declined instead.
I hope you can answer these questions.
thanks.
The performance decreases with the training time. I could not figure out what happened only from the above information. I think You should pay attention to the pytorch version (0.2.0) [torch-0.2.0.post3] and the value of the learning rate.
Thanks for your reply~ the value of learning rate is the default 0.00001, and i also confuse the ability about the paramter of "loca_type" that is setted zero in default , and does this parm affect the model's performance ?
My code runs on the environment of pytorch 0.4 , i will change to 0.2 . Thanks for your reply.
@lileilai can you get the same results as the paper shows? I have met the same problem as yours
@lileilai Hello, have you solved this problem by changing pytorch to 0.2? I have met the same problems as yours.