metadata
base_model: ProTrekHub/Protein_Encoder_35M
library_name: peft
Model Card for Model-RASH-ProTrek-35M
Task type
Protein-level Regression
Dataset: SeprotHub/Dataset-RASH_HUMAN
Model input type
AA Sequence
LoRA config
- r: 8
- lora_dropout: 0.0
- lora_alpha: 16
- target_modules: ['key', 'output.dense', 'value', 'intermediate.dense', 'query']
- modules_to_save: ['classifier']
Training config
- optimizer:
- class: AdamW
- betas: (0.9, 0.98)
- weight_decay: 0.01
- learning rate: 0.0005
- epoch: 1
- batch size: 32
- precision: 16-mixed