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---
base_model: westlake-repl/SaProt_35M_AF2
library_name: peft
---
# Model Card for Model-Subcellular_Localization-35M
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.
## Task type
Protein-level Classification
## Model input type
SA Sequence
## Label meanings
0: Nucleus
1: Cytoplasm
2: Extracellular
3: Mitochondrion
4: Cell.membrane
5: Endoplasmic.reticulum
6: Plastid
7: Golgi.apparatus
8: Lysosome/Vacuole
9: Peroxisome
## LoRA config
- **r:** 8
- **lora_dropout:** 0.0
- **lora_alpha:** 16
- **target_modules:** ['query', 'intermediate.dense', 'key', 'value', 'output.dense']
- **modules_to_save:** ['classifier']
## Training config
- **optimizer:**
- **class:** AdamW
- **betas:** (0.9, 0.98)
- **weight_decay:** 0.01
- **learning rate:** 0.001
- **epoch:** 1
- **batch size:** 2
- **precision:** 16-mixed
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