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README.md
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### Dataset description
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The dataset is from [SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering](https://jcheminf.biomedcentral.com/articles/10.1186/s13321-023-00688-x).
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### Model input type
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-
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### Performance
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### LoRA config
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lora_dropout: 0.0
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lora_alpha: 16
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target_modules: ["query", "key", "value", "intermediate.dense", "output.dense"]
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modules_to_save: ["classifier"]
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### Training config
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### Dataset description
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The dataset is from [SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering](https://jcheminf.biomedcentral.com/articles/10.1186/s13321-023-00688-x).
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### Model input type
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Amino acid sequence
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### Performance
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### LoRA config
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lora_dropout: 0.0
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lora_alpha: 16
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target_modules: ["query", "key", "value", "intermediate.dense", "output.dense"]
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modules_to_save: ["classifier"]
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### Training config
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