ChemFM/admet_lipophilicity_astrazeneca

Model Card: ChemFM Adapters for Lipophilicity_AstraZeneca Prediction on ADMET Group

Model Overview:
This adapter is fine-tuned on the Lipophilicity_AstraZeneca 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 lipophilicity with continuous labels, measured as a log-ratio, indicating a drug's ability to dissolve in lipid environments.

Dataset:
The whole dataset contains 4200 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.