| {} | |
| ### 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](https://tdcommons.ai/benchmark/admet_group/Bioavailability_Ma). | |
| **How to Use**: | |
| For more details on how to use this model, visit [ChemFM GitHub](https://github.com/TheLuoFengLab/ChemFM/tree/master/finetuning/property_prediction). | |