Model Card: ChemFM Adapters for Solubility_AqSolDB Prediction on ADMET Group
Model Overview:
This adapter is fine-tuned on the Solubility_AqSolDB 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 aqueous solubility with continuous labels, measured in log mol/L, indicating a drug's ability to dissolve in water.
Dataset:
The whole dataset contains 9982 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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