Dear authors,
First of all, thank you for sharing this excellent work and the codebase. It has been very helpful for my research on protein-ligand interactions.
I am writing to ask about the specific training details used to generate the official pre-trained weights provided in this repository. While I have reviewed the paper and the code, I would like to know the exact hyperparameters and training options used for the final model to ensure I can reproduce the results accurately or use them as a proper baseline for fine-tuning.
Could you please share the specific configuration details? For example:
Hyperparameters: Learning rate, batch size, weight decay, dropout rate, etc.
Training Options: Number of epochs, scheduler settings, or any specific random seeds used.
Command Line Arguments: If possible, sharing the exact command line or the config file used to train the official model would be greatly appreciated.
Thank you for your time and assistance.
Best regards,
Dear authors,
First of all, thank you for sharing this excellent work and the codebase. It has been very helpful for my research on protein-ligand interactions.
I am writing to ask about the specific training details used to generate the official pre-trained weights provided in this repository. While I have reviewed the paper and the code, I would like to know the exact hyperparameters and training options used for the final model to ensure I can reproduce the results accurately or use them as a proper baseline for fine-tuning.
Could you please share the specific configuration details? For example:
Hyperparameters: Learning rate, batch size, weight decay, dropout rate, etc.
Training Options: Number of epochs, scheduler settings, or any specific random seeds used.
Command Line Arguments: If possible, sharing the exact command line or the config file used to train the official model would be greatly appreciated.
Thank you for your time and assistance.
Best regards,