README.md

---
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 interaction of antigen-variable domain of heavy chain of heavy chain antibody (VHH) with 
severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike proteins. 

This model is trained on Alpha variants, thus can only be used to pridict interaction with Alpha variants.

### Task type
protein level classification

### Dataset description
The dataset is from [COGNANO/AVIDa-SARS-CoV-2](https://huggingface.co/datasets/COGNANO/AVIDa-SARS-CoV-2).

We collect all amino acid sequences whose antigen type is Alpha varitant.

Binary label represented by 1 for the binding pair and 0 for the non-binding pair.
### Model input type
Amino acid sequence

### Performance
test_acc: 0.95

test_loss: 0.32

### 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: 10

batch size: 200

precision: 16-mixed