ChemFM/admet_bbb_martins

Model Card: ChemFM Adapters for BBB_Martins Prediction on ADMET Group

Model Overview:
This adapter is fine-tuned on the BBB_Martins dataset. It uses ChemFM as the base model and is trained on SMILES representations.

Task Description:
The task a classification task, and the objective is to predict blood-brain barrier permeability with binary labels, indicating a drug's ability to penetrate the barrier to reach the brain.

Dataset:
The whole dataset contains 1915 samples. For more details about the dataset, visit ADMET benchmark.

How to Use:
For more details on how to use this model, visit ChemFM GitHub.