commit files to HF hub

.gitattributes

@@ -38,3 +38,12 @@ images/hyatt_food.jpg filter=lfs diff=lfs merge=lfs -text
 images/hyatt_pool.jpg filter=lfs diff=lfs merge=lfs -text
 images/hyatt_restaurants.jpg filter=lfs diff=lfs merge=lfs -text
 images/hyatt_suites.jpg filter=lfs diff=lfs merge=lfs -text
+images/hotel_beach.jpg filter=lfs diff=lfs merge=lfs -text
+images/hotel_fitness.jpg filter=lfs diff=lfs merge=lfs -text
+images/hotel_food.jpg filter=lfs diff=lfs merge=lfs -text
+images/hotel_lobby.jpg filter=lfs diff=lfs merge=lfs -text
+images/hotel_meetings.jpg filter=lfs diff=lfs merge=lfs -text
+images/hotel_pool.jpg filter=lfs diff=lfs merge=lfs -text
+images/hotel_restaurants.jpg filter=lfs diff=lfs merge=lfs -text
+images/hotel_room.jpg filter=lfs diff=lfs merge=lfs -text
+images/hotel_suite.jpg filter=lfs diff=lfs merge=lfs -text

README.md

@@ -10,47 +10,55 @@ model-index:
 - name: hotel-image-classifier
   results:
   - task:
-      name: Image Classification
-      type: image-classification
+      name: Hotel Image Classification
+      type: hotel-image-classification
     metrics:
       - name: Accuracy
         type: accuracy
-        value: 0.6739130616188049
+        value: 0.7105262875556946
 ---
 
 # hotel-image-classifier
 
 
-Autogenerated by HuggingPics🤗🖼️
+Hotel Cateogry Transformer..
 
-Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
 
-Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).
+## Example Images
 
 
-## Example Images
+#### hotel beach
+
+![hotel beach](images/hotel_beach.jpg)
+
+#### hotel fitness
+
+![hotel fitness](images/hotel_fitness.jpg)
+
+#### hotel food
 
+![hotel food](images/hotel_food.jpg)
 
-#### hyatt beach
+#### hotel lobby
 
-![hyatt beach](images/hyatt_beach.jpg)
+![hotel lobby](images/hotel_lobby.jpg)
 
-#### hyatt fitness
+#### hotel meetings
 
-![hyatt fitness](images/hyatt_fitness.jpg)
+![hotel meetings](images/hotel_meetings.jpg)
 
-#### hyatt food
+#### hotel pool
 
-![hyatt food](images/hyatt_food.jpg)
+![hotel pool](images/hotel_pool.jpg)
 
-#### hyatt pool
+#### hotel restaurants
 
-![hyatt pool](images/hyatt_pool.jpg)
+![hotel restaurants](images/hotel_restaurants.jpg)
 
-#### hyatt restaurants
+#### hotel room
 
-![hyatt restaurants](images/hyatt_restaurants.jpg)
+![hotel room](images/hotel_room.jpg)
 
-#### hyatt suites
+#### hotel suite
 
-![hyatt suites](images/hyatt_suites.jpg)
+![hotel suite](images/hotel_suite.jpg)

config.json

@@ -9,23 +9,29 @@
   "hidden_dropout_prob": 0.0,
   "hidden_size": 768,
   "id2label": {
-    "0": "hyatt beach",
-    "1": "hyatt fitness",
-    "2": "hyatt food",
-    "3": "hyatt pool",
-    "4": "hyatt restaurants",
-    "5": "hyatt suites"
+    "0": "hotel beach",
+    "1": "hotel fitness",
+    "2": "hotel food",
+    "3": "hotel lobby",
+    "4": "hotel meetings",
+    "5": "hotel pool",
+    "6": "hotel restaurants",
+    "7": "hotel room",
+    "8": "hotel suite"
   },
   "image_size": 224,
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "hyatt beach": "0",
-    "hyatt fitness": "1",
-    "hyatt food": "2",
-    "hyatt pool": "3",
-    "hyatt restaurants": "4",
-    "hyatt suites": "5"
+    "hotel beach": "0",
+    "hotel fitness": "1",
+    "hotel food": "2",
+    "hotel lobby": "3",
+    "hotel meetings": "4",
+    "hotel pool": "5",
+    "hotel restaurants": "6",
+    "hotel room": "7",
+    "hotel suite": "8"
   },
   "layer_norm_eps": 1e-12,
   "model_type": "vit",

pytorch_model.bin

@@ -1,3 +1,3 @@
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+size 343287469

runs/events.out.tfevents.1672087416.747e91048218

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