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README.md

@@ -23,6 +23,7 @@ model-index:
     - name: Accuracy
       type: accuracy
       value: 0.855973597359736
+library_name: peft
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -75,6 +76,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
+- PEFT 0.5.0.dev0
 - Transformers 4.32.0.dev0
 - Pytorch 2.0.0
 - Datasets 2.1.0

adapter_config.json

@@ -0,0 +1,26 @@
+{
+  "auto_mapping": {
+    "base_model_class": "ViTForImageClassification",
+    "parent_library": "transformers.models.vit.modeling_vit"
+  },
+  "base_model_name_or_path": "google/vit-base-patch16-224-in21k",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "modules_to_save": [
+    "classifier"
+  ],
+  "peft_type": "LORA",
+  "r": 16,
+  "revision": null,
+  "target_modules": [
+    "query",
+    "value"
+  ],
+  "task_type": null
+}

adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dbb9d96e81620f7b3ea192cd0771b30ba202452c1f71f5060da1c87c707fa565
+size 2688263