---

base_model: Rostlab/prot_t5_xl_uniref50 

library_name: peft

---



# Model Card for Model-demo-1.2B
This model is used for a demo classification task

## Task type
Protein-level Classification

## Model input type
AA Sequence

## Label meanings

0: A

1: B


## LoRA config

- **r:** 8
- **lora_dropout:** 0.0
- **lora_alpha:** 16
- **target_modules:** ['SelfAttention.o', 'SelfAttention.k', 'EncDecAttention.o', 'EncDecAttention.v', 'SelfAttention.q', 'EncDecAttention.k', 'EncDecAttention.q', 'SelfAttention.v']
- **modules_to_save:** ['classifier']

## Training config

- **optimizer:**
  - **class:** AdamW
  - **betas:** (0.9, 0.98)
  - **weight_decay:** 0.01
- **learning rate:** 0.001
- **epoch:** 1
- **batch size:** 4
- **precision:** 16-mixed