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About the results of this model

Open qingyue2014 opened this issue 4 years ago • 10 comments

Hi, I rerun this project with the same experimental setting. But the joint accuracy only achieves around 55% on multiwoz2.1 dataset. Is there any special version of the transformers or something?

qingyue2014 avatar Jun 08 '21 12:06 qingyue2014

Hi, I rerun this project with the same experimental setting. But the joint accuracy only achieves around 55% on multiwoz2.1 dataset. Is there any special version of the transformers or something?

You can try the checkpoint I provided

smartyfh avatar Jun 08 '21 13:06 smartyfh

I try the checkpoint you provided and it achieves the result paper reporting. But I rerun the project several times still can't gain the best model(more than one percent drop). Would you recheck that the hyper-param settings shown in the GitHub is completely same to that in provided best model ? Thx.

qingyue2014 avatar Jun 09 '21 02:06 qingyue2014

I try the checkpoint you provided and it achieves the result paper reporting. But I rerun the project several times still can't gain the best model(more than one percent drop). Would you recheck that the hyper-param settings shown in the GitHub is completely same to that in provided best model ? Thx.

The parameters are the same. The performance could be affected by the GPUs you used.

smartyfh avatar Jun 09 '21 10:06 smartyfh

I was also unable to reproduce the result, only get 54.3 on MultiWOZ 2.1 dataset

AlbertChen1991 avatar Jun 10 '21 02:06 AlbertChen1991

I was also unable to reproduce the result, only get 54.3 on MultiWOZ 2.1 dataset

I get 55.04 on 2.1 hhh

qingyue2014 avatar Jun 10 '21 02:06 qingyue2014

I was also unable to reproduce the result, only get 54.3 on MultiWOZ 2.1 dataset

I get 55.04 on 2.1 hhh

Thanks for your interest. Please check the training records here: https://github.com/smartyfh/DST-STAR/blob/main/out-bert/exp/exp.txt

smartyfh avatar Jun 10 '21 09:06 smartyfh

@smartyfh Thanks for your interesting work. I've compare https://github.com/smartyfh/DST-STAR/blob/main/out-bert/exp/exp.txt and the results reported in your paper. Is the "slot_acc" same to the "Appendix A slot-specific Accuracy"? Why are they different in results.

narukamiko avatar Jun 11 '21 02:06 narukamiko

@smartyfh Thanks for your interesting work. I've compare https://github.com/smartyfh/DST-STAR/blob/main/out-bert/exp/exp.txt and the results reported in your paper. Is the "slot_acc" same to the "Appendix A slot-specific Accuracy"? Why are they different in results.

The reported results are the average of multiple random seeds. So is the joint goal accuracy.

smartyfh avatar Jun 11 '21 09:06 smartyfh

i got 55.79% on multiwoz2.1 with random seed=42, and i only change batch_size to 8, other params are same as the author's. i dont know why.........

Janeey99 avatar Jul 12 '22 04:07 Janeey99

i got 55.79% on multiwoz2.1 with random seed=42, and i only change batch_size to 8, other params are same as the author's. i dont know why.........

Hi, thank you for the feedback, batch size can indeed affect model performance, it is good to know that the model works when setting the batch size to 8.

smartyfh avatar Jul 12 '22 08:07 smartyfh