Model-EYFP-650M / README.md
Jiawei Zhang
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---
license: mit
---
**Base model:** [westlake-repl/SaProt_650M_AF2](https://huggingface.co/westlake-repl/SaProt_650M_AF2)
**Dataset:** This dataset contains single-site and double-site mutants derived from the wild type EYFP protein. The number of samples for
training, validation and test is 26168, 3087 and 3088. All single-site mutants and 80% of double-site mutants for training, 10% of double-site mutants for validation and test
respectively. This model was trained by Jia Zheng's lab at Westlake University. The dataset will be released later by this team.
**Performance (on test set):** 0.95 Spearman's ρ
**LoRA config:**
- **r:** 8
- **lora_dropout:** 0.0
- **lora_alpha:** 16
- **target_modules:** ["query", "key", "value", "intermediate.dense", "output.dense"]
- **modules_to_save:** ["classifier"]
**Training config:**
- **optimizer:**
- **class:** AdamW
- **betas:** (0.9, 0.98)
- **weight_decay:** 0.01
- **learning rate:** 1e-4
- **epoch:** 50
- **batch size:** 64
- **precision:** 16-mixed