ChemFM/admet_clearance_hepatocyte_az

Model Card: ChemFM Adapters for Clearance_Hepatocyte_AZ Prediction on ADMET Group

Model Overview:
This adapter is fine-tuned on the Clearance_Hepatocyte_AZ 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 clearance, measured in μL/min/10^6 cells, from hepatocyte experiments, indicating the rate at which the drug is removed from body.

Dataset:
The whole dataset contains 1020 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.