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--- |
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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-Subcellular_Localization-35M |
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This model is used for the Subcellular Localization Classification Task. It takes a protein sequence as input and outputs which of the 10 categories the protein belongs to. |
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## Task type |
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Protein-level Classification |
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## Model input type |
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SA Sequence |
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## Label meanings |
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0: Nucleus |
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1: Cytoplasm |
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2: Extracellular |
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3: Mitochondrion |
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4: Cell.membrane |
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5: Endoplasmic.reticulum |
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6: Plastid |
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7: Golgi.apparatus |
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8: Lysosome/Vacuole |
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9: Peroxisome |
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## LoRA config |
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- **r:** 8 |
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- **lora_dropout:** 0.0 |
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- **lora_alpha:** 16 |
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- **target_modules:** ['query', 'intermediate.dense', 'key', 'value', 'output.dense'] |
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- **modules_to_save:** ['classifier'] |
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## Training config |
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- **optimizer:** |
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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:** 0.001 |
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- **epoch:** 1 |
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- **batch size:** 2 |
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- **precision:** 16-mixed |
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