Upload adapter model

Model-demo-1.2B.zip

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README.md

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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 
+

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Rostlab/prot_t5_xl_uniref50",
+  "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": [
+    "SelfAttention.o",
+    "SelfAttention.k",
+    "EncDecAttention.o",
+    "EncDecAttention.v",
+    "SelfAttention.q",
+    "EncDecAttention.k",
+    "EncDecAttention.q",
+    "SelfAttention.v"
+  ],
+  "task_type": "SEQ_CLS",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+oid sha256:6aeec75c75f7012795b3933d5ae69b1f38d170bd214656d90171c82430b558c8
+size 15755592

metadata.json

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+{
+    "training_data_type": "AA"
+}