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Upload adapter model
Browse files- Model-Subcellular_Localization-35M.zip +3 -0
- README.md +62 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- metadata.json +3 -0
Model-Subcellular_Localization-35M.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d716abacf6c0e705dddc56718988d47b2cf23183bc4cc4aa1fba097964cd9b9
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size 3568758
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README.md
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---
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base_model: westlake-repl/SaProt_35M_AF2
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library_name: peft
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---
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# Model Card for Model-Subcellular_Localization-35M
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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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## Task type
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Protein-level Classification
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## Model input type
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SA Sequence
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## Label meanings
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0: Nucleus
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1: Cytoplasm
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2: Extracellular
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3: Mitochondrion
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4: Cell.membrane
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5: Endoplasmic.reticulum
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6: Plastid
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7: Golgi.apparatus
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8: Lysosome/Vacuole
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9: Peroxisome
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## LoRA config
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- **r:** 8
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- **lora_dropout:** 0.0
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- **lora_alpha:** 16
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- **target_modules:** ['query', 'intermediate.dense', 'key', 'value', 'output.dense']
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- **modules_to_save:** ['classifier']
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## Training config
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- **optimizer:**
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- **class:** AdamW
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- **betas:** (0.9, 0.98)
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- **weight_decay:** 0.01
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- **learning rate:** 0.001
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- **epoch:** 1
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- **batch size:** 2
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- **precision:** 16-mixed
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "westlake-repl/SaProt_35M_AF2",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [
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"classifier"
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],
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"query",
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"intermediate.dense",
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"key",
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"value",
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"output.dense"
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],
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"task_type": "SEQ_CLS",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:102d457dbbc1de9612cd41c12a58a1dbf288dd9d2837024bfb36296e068b4d94
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size 4265400
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metadata.json
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{
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"training_data_type": "SA"
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}
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