Downloads · 30 days
0
Model-50C_Aggregation-650M
cmartell/Model-50C_Aggregation-650M
Model-50C_Aggregation-650M is a machine learning model from cmartell. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model predicts protein aggregation induced by 50°C stress.
Access
Public
Updated Nov 14, 2025
Repo size
31 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors31 MB · 100%
At a glance
- Access
- Public
- Created
- Nov 14, 2025
- Updated
- Nov 14, 2025
- SHA
- 45fd7f51
Base models
Datasets
Model card
From the Hugging Face model README
Base Model: westlake-repl/SaProt_650M_AF2
Model Card for Model ID
This model predicts protein aggregation induced by 50°C stress.
Task type
Protein level regression
Dataset description
- Trained on experimental data from Global Analysis of Aggregation Determinants in Small Protein Domains The dataset can also be found on SaprotHub dataset.
Model input type:
SA (Structure-aware) protein sequence
Training Details
Performance (on test set)
Spearman's ρ = 0.67
R<sup>2</sup> = 0.43
LoRA Config:
- r: 8
- lora_dropout: 0.1
- lora_alpha: 16
- target_modules: ["query", "intermediate.dense", "value", "output.dense", "key"]
- modules_to_save: ["classifier"]
Training Config
- Optimizer:
- class: AdamW
- betas: (0.9,0.98)
- weight decay: 0.01
- learning rate: 5e-4
- batch size: 1
- gradient accumulation steps: 64
- effective batch size: 64
- epochs: 35
- precision: 16-mixed
- Created
- Nov 14, 2025
- Updated
- Nov 14, 2025