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admet_caco2_wang
ChemFM/admet_caco2_wang
admet_caco2_wang is a machine learning model from ChemFM. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Model Overview: This adapter is fine-tuned on the Caco2Wang dataset. It uses ChemFM as the base model and is trained on SMILES representations.
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Public
Updated Oct 22, 2024
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At a glance
- Access
- Public
- Created
- Oct 22, 2024
- Updated
- Oct 22, 2024
- SHA
- 8c187222
Model card
From the Hugging Face model README
Model Card: ChemFM Adapters for Caco2_Wang Prediction on ADMET Group
Model Overview:
This adapter is fine-tuned on the Caco2_Wang 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 drug permeability, measured in cm/s, using the Caco-2 cell line as an in vitro model to simulate human intestinal tissue permeability.
Dataset:
The whole dataset contains 906 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.
- Created
- Oct 22, 2024
- Updated
- Oct 22, 2024