File size: 754 Bytes
3869527 a108387 3869527 a108387 3869527 a108387 3869527 a108387 3869527 a108387 3869527 a108387 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ---
{}
---
### 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).
|