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Model-ACE2_Omicron_BQ.1.1_binding_affinity-35M
SaProtHub/Model-ACE2_Omicron_BQ.1.1_binding_affinity-35M
Model-ACE2_Omicron_BQ.1.1_binding_affinity-35M is a machine learning model from SaProtHub. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
This model is used to predict ACE2 binding affinities with mutant SARSCoV-2 Omicron BQ1.1 variants spike receptor-binding domain (RBD).
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At a glance
- Library
- peft
- Access
- Public
- Created
- Jul 19, 2024
- Updated
- Oct 16, 2024
- SHA
- ca7d4739
Base models
Model card
From the Hugging Face model README
Base model: westlake-repl/SaProt_35M_AF2
Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->This model is used to predict ACE2 binding affinities with mutant SARSCoV-2 Omicron BQ1.1 variants spike receptor-binding domain (RBD).
Task type
protein level regression
Dataset description
The dataset is from Deep mutational scans of XBB.1.5 and BQ.1.1 reveal ongoing epistatic drift during SARSCoV-2 evolution.
Label means binding affinities level, ranging from minus infinity to positive infinity. Zero means no affinity, lager means higher affinity and smaller means lower affinity.
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-3
epoch: 50
batch size: 200
precision: 16-mixed
- Library
- peft
- Created
- Jul 19, 2024
- Updated
- Oct 16, 2024