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admet_clearance_hepatocyte_az
ChemFM/admet_clearance_hepatocyte_az
admet_clearance_hepatocyte_az 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 ClearanceHepatocyteAZ dataset. It uses ChemFM as the base model and is trained on SMILES representations.
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Public
Updated Oct 21, 2024
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At a glance
- Access
- Public
- Created
- Oct 21, 2024
- Updated
- Oct 21, 2024
- SHA
- 17b0528c
Model card
From the Hugging Face model README
Model Card: ChemFM Adapters for Clearance_Hepatocyte_AZ Prediction on ADMET Group
Model Overview:
This adapter is fine-tuned on the Clearance_Hepatocyte_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 drug clearance, measured in μL/min/10^6 cells, from hepatocyte experiments, indicating the rate at which the drug is removed from body.
Dataset:
The whole dataset contains 1020 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 21, 2024
- Updated
- Oct 21, 2024