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README.md

@@ -1,18 +1,20 @@
 ---
+language:
+- en
 license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
 tags:
 - generated_from_trainer
 datasets:
 - food101
 metrics:
 - accuracy
+base_model: google/vit-base-patch16-224-in21k
 model-index:
 - name: vit-base-patch16-224-in21k-finetuned-lora-food101
   results:
   - task:
-      name: Image Classification
       type: image-classification
+      name: Image Classification
     dataset:
       name: food101
       type: food101
@@ -20,11 +22,9 @@ model-index:
       split: train
       args: default
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.855973597359736
-language:
-- en
+      name: Accuracy
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You

adapter_config.json

@@ -1,4 +1,5 @@
 {
+  "alpha_pattern": {},
   "auto_mapping": {
     "base_model_class": "ViTForImageClassification",
     "parent_library": "transformers.models.vit.modeling_vit"
@@ -10,17 +11,23 @@
   "init_lora_weights": true,
   "layers_pattern": null,
   "layers_to_transform": null,
+  "loftq_config": {},
   "lora_alpha": 16,
   "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
   "modules_to_save": [
     "classifier"
   ],
   "peft_type": "LORA",
   "r": 16,
+  "rank_pattern": {},
   "revision": null,
   "target_modules": [
     "query",
     "value"
   ],
-  "task_type": null
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
 }

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e656924ca3ba76fb581e66102f8c9fe9b9d7f29bdc70f56c96758d539f884e5
+size 2677140