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---
base_model: EvolutionaryScale/esmc-300m-2024-12
library_name: peft
---
# Model Card for Model-Demo-ESMC-300M
## Base model
[EvolutionaryScale/esmc-300m-2024-12]
## Task description
This is a ESMC_300M model for the Protein-level Regression task and the dataset is the Dataset-RASH_HUMAN.
## Label meaning
Label means mutation effect score of each protein based on deep mutation scanning experiment, ranging from minus infinity to positive infinity where 0 is value of wildtype, larger means higher fitness.
## Task type
Protein-level Regression
## Model input type
AA Sequence
## LoRA config
- **r:** 8
- **lora_dropout:** 0.0
- **lora_alpha:** 16
- **target_modules:** ['layernorm_qkv.1', 'ffn.1', 'out_proj', 'ffn.3']
- **modules_to_save:** ['classifier']
## Training config
- **optimizer:**
- **class:** AdamW
- **betas:** (0.9, 0.98)
- **weight_decay:** 0.01
- **learning rate:** 0.0001
- **epoch:** 10
- **batch size:** 32
- **precision:** 16-mixed
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