commit files to HF hub

README.md

@@ -5,9 +5,12 @@ tags:
 - huggingpics
 metrics:
 - accuracy
+- Precision
+- Recall
+- F1Score
 
 model-index:
-- name: AyaVit
+- name: ArSL VIT 
   results:
   - task:
       name: Image Classification
@@ -15,9 +18,26 @@ model-index:
     metrics:
       - name: Accuracy
         type: accuracy
-        value: 0.9929724931716919
+        value: 0.9932190775871277
+      - name: Precision
+        type: Precision
+        value: 0.2213994264602661
+      - name: Recall
+        type: Recall
+        value: 0.22142769396305084
+      - name: F1Score
+        type: F1Score
+        value: 0.22135905921459198
 ---
 
-# AyaVit
+# ArSL VIT 
 
 
+Autogenerated by HuggingPics🤗🖼️
+
+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

config.json

@@ -88,5 +88,5 @@
   "problem_type": "single_label_classification",
   "qkv_bias": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.26.1"
+  "transformers_version": "4.30.2"
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 343358253

runs/events.out.tfevents.1686844967.2381928a8e19.1379.0

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