Update README.md

README.md

@@ -1,25 +1,32 @@
 ---
+license: apache-2.0
 language:
 - ar
 pipeline_tag: image-classification
+datasets:
+- arabic-handwritten-characters
+metrics:
+- accuracy
+model-index:
+- name: arabichar-v3
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: arabic-handwritten-characters
+      type: arabic-image-alphabets
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9764
 ---
-# Model Card for Model ID
+# Arabic Handwritten Character Classification
 
-<!-- Provide a quick summary of what the model is/does. -->
-
-Implementing a CNN model for the classification of handwritten arabic characters (Hijaiyah)
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-- **Developed by:** Loey, Mohamed, Ahmed El-Sawy, and Hazem El-Bakry
-- **Model type:** Image
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** https://www.kaggle.com/datasets/mloey1/ahcd1
+This model is implemented using a custom CNN model, named arabichar, for the classification of handwritten arabic characters (Hijaiyah) on [arabic handwritten characters](https://www.kaggle.com/datasets/mloey1/ahcd1) dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4150
+- Accuracy: 0.9764