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| ### Model Card: ChemFM Adapters for DILI Prediction on ADMET Group | |
| **Model Overview**: | |
| This adapter is fine-tuned on the `DILI` 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 can cause liver injury with binary labels, indicating its potential for hepatotoxicity. | |
| **Dataset**: | |
| The whole dataset contains 475 samples. For more details about the dataset, visit [ADMET benchmark](https://tdcommons.ai/benchmark/admet_group/DILI). | |
| **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). | |