base_model: westlake-repl/SaProt_35M_AF2
library_name: peft
Base model: westlake-repl/SaProt_35M_AF2
Model Card for Model ID
This model is trained on a sigle site deep mutation scanning dataset and can be used to predict fitness score of mutant amino acid sequence of protein RASH_HUMAN (GTPase HRas).
Protein Function
This protein involved in the activation of Ras protein signal transduction. Ras proteins bind GDP/GTP and possess intrinsic GTPase activity.
Task type
protein level regression
Dataset description
The dataset is from Deep generative models of genetic variation capture the effects of mutations. And can also be found on SaprotHub dataset.
Label means fitness score of each mutant amino acid sequence, ranging from minus infinity to positive infinity where 0 is value of wildtype, larger means higher fitness.
Model input type
Amino acid sequence
Performance
0.64 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: 256
precision: 16-mixed