---

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