Model Card: ChemFM Adapters for Clearance_Microsome_AZ Prediction on ADMET Group
Model Overview:
This adapter is fine-tuned on the Clearance_Microsome_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 mL/min/g, from microsome experiments, indicating the rate at which the drug is removed from body.
Dataset:
The whole dataset contains 1102 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.
