Model Card: ChemFM Adapters for Caco2_Wang Prediction on ADMET Group
Model Overview:
This adapter is fine-tuned on the Caco2_Wang dataset. It uses ChemFM as the base model and is trained on SMILES representations.
Task Description:
The task a regression task, and the objective is to predict drug permeability, measured in cm/s, using the Caco-2 cell line as an in vitro model to simulate human intestinal tissue permeability.
Dataset:
The whole dataset contains 906 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.
