Skip to content

SUTNLP/RLAT-Transformer

Repository files navigation

SemEval2023_Task10

Models for all subtaks are saved and to reproduce their results, run notebooks Task_A_Test.ipynb, Task_B_Test.ipynb, Task_A_Test.ipynb respectively.
For training from scratch run Task_A_Training.ipynb, Task_B_Training.ipynb, Task_C_Training.ipynb respectively.
Note: Subtask A results for training from scratch may not be completely reproducible because we had to save and load model in the middle of training due to the hardware limitation.

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published