Hi,

For the unsupervised model, the performance could be affected by different random seeds, hardwares, validation steps, etc. We have been using the default seed of Huggingface's transformers.

Thank you for your answer.
In this case, the performance is only affected by seeds. But I still have some concerns:

1. Seeds may have a deviation of about 2% in spearsman, using a single seed as the final result seems inaccurate.
2. When we use no default seeds, the performance seems to be worse. Does the searched hyperparameter only apply to the default seed?

Hi,

Thanks for the suggestion. We are also planning to add more trials and take the average for more accurate results. It's indeed probably the case that you need to re-tune the hyper-parameters when changing the seeds.

Thank you