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  **Model Overview**:
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  This adapter is fine-tuned on the `Half_Life_Obach` dataset. It uses ChemFM as the base model and is trained on SMILES representations.
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  **Dataset**:
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- For more details about the dataset, visit [ADMET benchmark](https://tdcommons.ai/benchmark/admet_group/Half_Life_Obach).
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  **How to Use**:
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- For more details on how to use this model, visit [ChemFM GitHub](https://github.com/TheLuoFengLab/ChemFM/tree/master/property_prediction).
 
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  **Model Overview**:
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  This adapter is fine-tuned on the `Half_Life_Obach` dataset. It uses ChemFM as the base model and is trained on SMILES representations.
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+ **Task Description**:
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+ The task a regression task, and the objective is to predict the half-life duration of a drug, measured in hours, indicating the time for its concentration to reduce by half.
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  **Dataset**:
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+ The whole dataset contains 667 samples. For more details about the dataset, visit [ADMET benchmark](https://tdcommons.ai/benchmark/admet_group/Half_Life_Obach).
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  **How to Use**:
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+ For more details on how to use this model, visit [ChemFM GitHub](https://github.com/TheLuoFengLab/ChemFM/tree/master/finetuning/property_prediction).