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base_model: westlake-repl/SaProt_35M_AF2 |
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library_name: peft |
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--- |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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This model is used to predict protein stability (ΔΔG) for mutant amino acid sequence. |
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### Task type |
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protein level regression |
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### Dataset description |
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The dataset is from [Mega-scale experimental analysis of protein folding stability in biology and design](https://www.nature.com/articles/s41586-023-06328-6). |
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We collect all protein sequences that have ΔΔG value. |
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Label is the ΔΔG (kcal/mol) value, the positive value means stable and the negetive value represents unstable, ranging from minus infinity to positive infinity. |
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### Model input type |
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Amino acid sequence |
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### Performance |
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test_loss: 0.18 |
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test_spearman: 0.92 |
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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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class: AdamW |
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betas: (0.9, 0.98) |
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weight_decay: 0.01 |
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learning rate: 1e-4 |
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epoch: 20 |
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batch size: 64 |
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precision: 16-mixed |
