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- ESM2-GBT: Gradient Boosted Trees on ESM2 Embeddings
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  # Model Overview
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  The ESM2-GBT model is a Gradient Boosted Trees (GBT) regressor trained on ESM2 embeddings from Meta’s ESM2 protein language model. It is designed for binding affinity predictive tasks.
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  • Binding affinity predictions
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- Limitations & Considerations
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  • The model is trained on ESM2 embeddings and is limited by the quality of those embeddings.
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+ ## ESM2-GBT: Gradient Boosted Trees on ESM2 Embeddings
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  # Model Overview
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  The ESM2-GBT model is a Gradient Boosted Trees (GBT) regressor trained on ESM2 embeddings from Meta’s ESM2 protein language model. It is designed for binding affinity predictive tasks.
 
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  • Binding affinity predictions
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+ # Limitations & Considerations
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  • The model is trained on ESM2 embeddings and is limited by the quality of those embeddings.
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