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Model-AVIDa-SARS-CoV-2-Alpha-35M
SaProtHub/Model-AVIDa-SARS-CoV-2-Alpha-35M
Model-AVIDa-SARS-CoV-2-Alpha-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 interaction of antigen-variable domain of heavy chain of heavy chain antibody (VHH) with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike proteins.
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At a glance
- Library
- peft
- Access
- Public
- Created
- Jul 19, 2024
- Updated
- Oct 16, 2024
- SHA
- 10f263e0
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 interaction of antigen-variable domain of heavy chain of heavy chain antibody (VHH) with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike proteins.
This model is trained on Alpha variants, thus can only be used to pridict interaction with Alpha variants.
Task type
protein level classification
Dataset description
The dataset is from COGNANO/AVIDa-SARS-CoV-2.
We collect all amino acid sequences whose antigen type is Alpha varitant.
Binary label represented by 1 for the binding pair and 0 for the non-binding pair.
Model input type
Amino acid sequence
Performance
test_acc: 0.95
test_loss: 0.32
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: 10
batch size: 200
precision: 16-mixed
- Library
- peft
- Created
- Jul 19, 2024
- Updated
- Oct 16, 2024