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### Model Card: ChemFM Adapters for AMES Prediction on ADMET Group
**Model Overview**:
This adapter is fine-tuned on the `AMES` 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 whether a drug is mutagenic with binary labels, indicating its ability to induce genetic alterations.
**Dataset**:
The whole dataset contains 7255 samples. For more details about the dataset, visit [ADMET benchmark](https://tdcommons.ai/benchmark/admet_group/AMES).
**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).
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