Model Card: ChemFM Adapters for PPBR_AZ Prediction on ADMET Group
Model Overview:
This adapter is fine-tuned on the PPBR_AZ dataset. It uses ChemFM as the base model and is trained on SMILES representations.
Task Description:
The task a regression task, and the objective is to predict plasma protein binding rate with continuous labels, indicating the percentage of a drug bound to plasma proteins in the blood.
Dataset:
The whole dataset contains 1797 samples. For more details about the dataset, visit ADMET benchmark.
How to Use:
For more details on how to use this model, visit ChemFM GitHub.
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