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SaProtHub/Model-Subcellular_Localization-650M

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

Base model: westlake-repl/SaProt_650M_AF2

Task type: protein-level classification

The digital label means:

0: Nucleus

1: Cytoplasm

2: Extracellular

3: Mitochondrion

4: Cell.membrane

5: Endoplasmic.reticulum

6: Plastid

7: Golgi.apparatus

8: Lysosome/Vacuole

9: Peroxisome

Dataset: SaProtHub/Dataset-Subcellular_Localization-DeepLoc

Model input type: SA(Structure-aware) sequence

Performance (on test set): 85.75% Accuracy

LoRA config:

  • r: 16
  • lora_dropout: 0
  • lora_alpha: 32
  • target_modules: ["query", "key", "value", "intermediate.dense", "output.dense"]
  • modules_to_save: ["classifier"]

Training config:

  • optimizer:
  • class: AdamW
  • betas: (0.9, 0.98)
  • weight_decay: 0.01
  • learning rate: 5e-4
  • epoch: 100
  • batch size: 64
  • precision: 16-mixed