---
base_model: westlake-repl/SaProt_35M_AF2
library_name: peft
---
# Base model: [westlake-repl/SaProt_35M_AF2](https://huggingface.co/westlake-repl/SaProt_35M_AF2)

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
This model is used to predict protein stability (ΔΔG) for mutant amino acid sequence. 

### Task type
protein level regression

### Dataset description
The dataset is from [Mega-scale experimental analysis of protein folding stability in biology and design](https://www.nature.com/articles/s41586-023-06328-6).
We collect all protein sequences that have ΔΔG value.

Label is the ΔΔG (kcal/mol) value, the positive value means stable and the negetive value represents unstable, ranging from minus infinity to positive infinity.
### Model input type
Amino acid sequence

### Performance
test_loss: 0.18

test_spearman: 0.92

### LoRA config
lora_dropout: 0.0

lora_alpha: 16

target_modules: ["query", "key", "value", "intermediate.dense", "output.dense"]

modules_to_save: ["classifier"]

### Training config
class: AdamW

betas: (0.9, 0.98)

weight_decay: 0.01

learning rate: 1e-4

epoch: 20

batch size: 64

precision: 16-mixed