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I have ran the "python train_last.py --data=xing --mode=transformer --user_ --adj=adj_all --dataset=all_data --hiddenSize=100“ for many times and evaluation results like Recall@5, Recall@10 can not reach the number mentioned in the paper.
Is there anything wrong in the hyper-parameter settings or something else? Thank you!
The text was updated successfully, but these errors were encountered:
I have ran the "python train_last.py --data=xing --mode=transformer --user_ --adj=adj_all --dataset=all_data --hiddenSize=100“ for many times and evaluation results like Recall@5, Recall@10 can not reach the number mentioned in the paper.
Is there anything wrong in the hyper-parameter settings or something else? Thank you!
Thank you for your attention to our work, I set the hyper-parameter "buffer_size" as 20000 and "batch_size" as100.
I have ran the "python train_last.py --data=xing --mode=transformer --user_ --adj=adj_all --dataset=all_data --hiddenSize=100“ for many times and evaluation results like Recall@5, Recall@10 can not reach the number mentioned in the paper.
Is there anything wrong in the hyper-parameter settings or something else? Thank you!
The text was updated successfully, but these errors were encountered: