---
base_model: westlake-repl/SaProt_650M_AF2
library_name: peft
---
# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
This model is used to predict solubility of a amino acid sequence.

### Task type
protein level classification

### Dataset description
The dataset is from [DeepSol: a deep learning framework for sequence-based protein solubility prediction](https://doi.org/10.1093/bioinformatics/bty166).
Binary label, 1 means soluble, 0 means insoluble.
### Model input type
Amino acid sequence

### Performance
test_acc: 0.74

### 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: 1

batch size: 100

precision: 16-mixed