I run the train_nli.py with the default parameters. But I end up with getting about 80% and 79% accuracies on the dev/test set, respectively. I run the code on one single GTX 1080 Ti GPU and get nearly the same results in two dependent runs.
What parameters I should use to get the proper results? or is there any potential reason to cause the failure of reproduction?
BTW, I use the glove pre-trained embeddings (and the default parameters in train_nli.py).
Hi,
I run the train_nli.py with the default parameters. But I end up with getting about 80% and 79% accuracies on the dev/test set, respectively. I run the code on one single GTX 1080 Ti GPU and get nearly the same results in two dependent runs.
What parameters I should use to get the proper results? or is there any potential reason to cause the failure of reproduction? BTW, I use the glove pre-trained embeddings (and the default parameters in train_nli.py).
Thanks! Looking forward to your reply!