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Subcellular_Localization
CluelessNovice/Subcellular_Localization
Subcellular_Localization is a machine learning model from CluelessNovice. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
This model is used for the Subcellular Localization Classification Task. It takes a protein sequence as input and outputs which of the 10 categories the protein belongs to.
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At a glance
- Library
- peft
- Access
- Public
- Created
- Aug 6, 2024
- Updated
- Aug 6, 2024
- SHA
- ecce4a23
Base models
Model card
From the Hugging Face model README
Model Card for Model-Subcellular_Localization-35M
This model is used for the Subcellular Localization Classification Task. It takes a protein sequence as input and outputs which of the 10 categories the protein belongs to.
Task type
Protein-level Classification
Model input type
SA Sequence
Label meanings
0: Nucleus
1: Cytoplasm
2: Extracellular
3: Mitochondrion
4: Cell.membrane
5: Endoplasmic.reticulum
6: Plastid
7: Golgi.apparatus
8: Lysosome/Vacuole
9: Peroxisome
LoRA config
- r: 8
- lora_dropout: 0.0
- lora_alpha: 16
- target_modules: ['query', 'intermediate.dense', 'key', 'value', 'output.dense']
- 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: 2
- precision: 16-mixed
- Library
- peft
- Created
- Aug 6, 2024
- Updated
- Aug 6, 2024