File size: 1,188 Bytes
b614794 aed9371 b614794 64e5405 b614794 6e5955b b614794 6e5955b b614794 945728c c8b95a1 78e3e3f 6e5955b b614794 6e5955b b614794 6e5955b b614794 6e5955b b614794 6e5955b b614794 6e5955b b614794 6e5955b b614794 6e5955b b614794 6e5955b b614794 6e5955b b614794 6e5955b b614794 6e5955b b614794 6e5955b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
---
base_model: westlake-repl/SaProt_35M_AF2
library_name: peft
---
# Base model: [westlake-repl/SaProt_35M_AF2](https://huggingface.co/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](https://doi.org/10.1371/journal.ppat.1011901).
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
0.72 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 |