Upload adapter model

Model-Demo-ESMC-300M.zip

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README.md

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+
+---
+
+base_model: EvolutionaryScale/esmc-300m-2024-12 
+
+library_name: peft
+
+---
+
+
+
+# Model Card for Model-Demo-ESMC-300M
+## Base model
+
+[EvolutionaryScale/esmc-300m-2024-12]
+
+## Task description
+
+This is a ESMC_300M model for the Protein-level Regression task and the dataset is the Dataset-RASH_HUMAN.
+
+## Label meaning
+
+Label means mutation effect score of each protein based on deep mutation scanning experiment, ranging from minus infinity to positive infinity where 0 is value of wildtype, larger means higher fitness.
+
+
+
+## Task type
+Protein-level Regression
+
+## Model input type
+AA Sequence
+
+## LoRA config
+
+- **r:** 8
+- **lora_dropout:** 0.0
+- **lora_alpha:** 16
+- **target_modules:** ['layernorm_qkv.1', 'ffn.1', 'out_proj', 'ffn.3']
+- **modules_to_save:** ['classifier']
+
+## Training config
+
+- **optimizer:**
+  - **class:** AdamW
+  - **betas:** (0.9, 0.98)
+  - **weight_decay:** 0.01
+- **learning rate:** 0.0001
+- **epoch:** 10
+- **batch size:** 32
+- **precision:** 16-mixed 
+

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "EvolutionaryScale/esmc-300m-2024-12",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "classifier"
+  ],
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "layernorm_qkv.1",
+    "ffn.1",
+    "out_proj",
+    "ffn.3"
+  ],
+  "task_type": "FEATURE_EXTRACTION",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 18479900

metadata.json

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+{
+    "training_task_type": "Protein-level Regression",
+    "training_data_type": "AA"
+}