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---
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
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