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---
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 ACE2 binding affinities with mutant SARSCoV-2 Omicron BQ1.1 variants spike receptor-binding domain (RBD).
### Task type
protein level regression
### Dataset description
The dataset is from [Deep mutational scans of XBB.1.5 and BQ.1.1 reveal ongoing epistatic drift during SARSCoV-2 evolution](https://doi.org/10.1371/journal.ppat.1011901).
Label means binding affinities level, ranging from minus infinity to positive infinity.
Zero means no affinity, lager means higher affinity and smaller means lower affinity.
### Model input type
Amino acid sequence
### Performance
0.70 Spearman's ρ
### 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-3
epoch: 50
batch size: 200
precision: 16-mixed |