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---
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
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