Closed Lin-Yijie closed 3 weeks ago
It seems that some unstable random factors during training caused the model to crash. You can check the training logs, and there should be a sudden spike in the loss at a certain epoch.
To resolve this issue, you can adjust the random seed and learning rate appropriately. Additionally, when the model crashes, you should terminate the current training and resume training from an earlier checkpoint.
I am closing this issue because it is no longer active. Please feel free to re-open it if the issue still exists!
Dear authors, I have conducted experiments using the AFAT-GCAN model on the IMCPT-100 dataset but encountered random matching results. In contrast, directly running GCAN achieves an F1 score of approximately 66.7.
Below are the details and results:
Final obtrain