metadata
base_model: westlake-repl/SaProt_35M_AF2
Model Card for Model ID
This model is used to predict mutation fitness score of protein DLG4_RAT.
Task type
protein level regression
Dataset description
The dataset is from Deep generative models of genetic variation capture the effects of mutations.
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-4
epoch: 50
batch size: 128
precision: 16-mixed