commit files to HF hub

.gitattributes

@@ -35,3 +35,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 images/not_portrait.jpg filter=lfs diff=lfs merge=lfs -text
 images/portrait.jpg filter=lfs diff=lfs merge=lfs -text
+images/Bad.jpg filter=lfs diff=lfs merge=lfs -text
+images/Good.jpg filter=lfs diff=lfs merge=lfs -text

README.md

@@ -15,7 +15,7 @@ model-index:
     metrics:
       - name: Accuracy
         type: accuracy
-        value: 0.7666666507720947
+        value: 0.9241706132888794
 ---
 
 # real_classifier
@@ -31,10 +31,10 @@ Report any issues with the demo at the [github repo](https://github.com/nateraw/
 ## Example Images
 
 
-#### not_portrait
+#### Bad
 
-![not_portrait](images/not_portrait.jpg)
+![Bad](images/Bad.jpg)
 
-#### portrait
+#### Good
 
-![portrait](images/portrait.jpg)
+![Good](images/Good.jpg)

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "_name_or_path": "ArielACE/real_classifier_v1",
   "architectures": [
     "ViTForImageClassification"
   ],
@@ -9,15 +9,15 @@
   "hidden_dropout_prob": 0.0,
   "hidden_size": 768,
   "id2label": {
-    "0": "not_portrait",
-    "1": "portrait"
+    "0": "Bad",
+    "1": "Good"
   },
   "image_size": 224,
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "not_portrait": "0",
-    "portrait": "1"
+    "Bad": "0",
+    "Good": "1"
   },
   "layer_norm_eps": 1e-12,
   "model_type": "vit",

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:dce4c4fcaf97a6bc42153201cc5a1fe7c3bb9bc52305c85cc436dafa342baa89
 size 343266410

runs/events.out.tfevents.1698079677.5f7d48947107.257.0

@@ -0,0 +1,3 @@
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+oid sha256:acee97f13a8ad6334dabaf1368747dd91ecf2833a2f72ac788e4228598364f0e
+size 2053