Update README.md

README.md

@@ -1,42 +1,43 @@
 ---
 license: apache-2.0
 datasets:
-  - hadyelsahar/ar_res_reviews
+- hadyelsahar/ar_res_reviews
 language:
-  - ar
+- ar
 metrics:
-  - accuracy
-  - precision
-  - recall
-  - f1
+- accuracy
+- precision
+- recall
+- f1
 base_model: aubmindlab/bert-base-arabertv02
 pipeline_tag: text-classification
 tags:
-  - text-classification
-  - sentiment-analysis
-  - arabic
-  - restaurant-reviews
+- text-classification
+- sentiment-analysis
+- arabic
+- restaurant-reviews
 model-index:
-  - name: ArabReview-Sentiment
-    results:
-      - task:
-          type: text-classification
-        dataset:
-          name: hadyelsahar/ar_res_reviews
-          type: sentiment-analysis
-        metrics:
-          - name: Accuracy
-            type: accuracy
-            value: 86.41
-          - name: Precision
-            type: precision
-            value: 87.01
-          - name: Recall
-            type: recall
-            value: 86.49
-          - name: F1 Score
-            type: f1
-            value: 86.75
+- name: ArabReview-Sentiment
+  results:
+  - task:
+      type: text-classification
+    dataset:
+      name: hadyelsahar/ar_res_reviews
+      type: sentiment-analysis
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 86.41
+    - name: Precision
+      type: precision
+      value: 87.01
+    - name: Recall
+      type: recall
+      value: 86.49
+    - name: F1 Score
+      type: f1
+      value: 86.75
+library_name: transformers
 ---
 
 # 🍽️ Arabic Restaurant Review Sentiment Analysis 🚀
@@ -99,4 +100,4 @@ training_args = TrainingArguments(
     max_grad_norm=1.0,
     metric_for_best_model="eval_loss",
     greater_is_better=False,
-)
+)