SaProtHub/Model-Thermostability-650M

Base model: westlake-repl/SaProt_650M_AF2

Task type: protein-level regression

Label corresponds to the protein melting temperature (Tm) normalized using the Min-Max normalization method.

Dataset: SaProtHub/Dataset-Thermostability-FLIP

Model input type: SA(Structure-aware) sequence

Performance (on test set): 0.706 Spearman's ρ

LoRA config:

• —r: 8
• —lora_dropout: 0.1
• —lora_alpha: 8
• —target_modules: ["query", "key", "value", "intermediate.dense", "output.dense"]
• —modules_to_save: ["classifier"]

Training config:

• —optimizer:
• —class: AdamW
• —betas: (0.9, 0.98)
• —weight_decay: 0.01
• —learning rate: 1e-4
• —epoch: 50
• —batch size: 64
• —precision: 16-mixed