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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](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).