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Model Card: ChemFM Adapters for Bioavailability_Ma Prediction on ADMET Group
Model Overview:
This adapter is fine-tuned on the Bioavailability_Ma 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 oral bioavailability with binary labels, indicating the rate and extent a drug becomes available at its site of action.
Dataset:
The whole dataset contains 640 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.