Skip to content

Best parameters for numbers of sampled rules and important rules #2

Open

Description

@csholder

The setup in your paper introduces 2000 sampled rules and 1000 important rules and I confuse about which dataset these parameters refer to. And the command lines given in README are also different with setups in you paper. Could you please release the details about the numbers of sampled rules and important rules during pre-training and training process? Thanks a lot!

Activity

  1. mnqu commented on Jun 12, 2021

    @mnqu
    Collaborator

    Thanks for your interest!
    The current codes in the main branch give a simple implementation of RNNLogic, which is easier to use but the hyperparameters are different from those reported in the paper.
    We have just published a new branch called torch, which corresponds to the implementation used in our experiment, and you could use the same hyperparameters as reported in the paper to run this model.
    We will add more detailed README and comments for this new branch.

    Thanks!
    Meng

  2. csholder commented on Jun 13, 2021

    @csholder
    Author

    Thank you for your reply, I will follow torch branch continuously. This work is really motivated to me, and I think it could reason facts with inductive reasoning method and deductive reasoning method simultaneously. I also focus on your other work and benefit a lot. Hope your better work!

    Best wishes!
    He Tao

  3. mnqu commented on Jun 14, 2021

    @mnqu
    Collaborator

    Thanks He! Also look forward to your work in this direction : )

    Best regards!
    Meng

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions