metadata

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