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Model-CAPERhlA-35M
SaProtHub/Model-CAPERhlA-35M
Model-CAPERhlA-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. The card lists the license as mit.
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Updated Nov 13, 2024
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At a glance
- License
- mit
- Access
- Public
- Created
- Nov 13, 2024
- Updated
- Nov 13, 2024
- SHA
- d0609d3b
Model card
From the Hugging Face model README
Model Information 🧬
License: MIT
🔬 Base Model:
🧩 Task Type:
Protein-level regression
📊 Dataset:
- protein: Contains mutation data including the RhlA enzyme sequence and corresponding performance metrics.
- Label: The experimentally tested fitness score, representing the scaled mutation effect for each mutant.
- Source: Label derived from CAPE
🔡 Model Input Type:
Amino acid sequence; label in RhlA
📈 Performance (the best on test set):
Spearman's ρ: 0.862
LoRA Configuration ⚙️
- r: 8
- LoRA dropout: 0.1
- LoRA alpha: 8
- Modules to save:
["regression"]
Training Configuration 🎛️
- Optimizer:
- Class: AdamW
- Betas: (0.9, 0.98)
- Weight decay: 0.01
- Learning rate: 5e-5
- Epochs: 5
- Batch size: Adaptive
- License
- mit
- Created
- Nov 13, 2024
- Updated
- Nov 13, 2024