Update README.md

README.md

@@ -8,16 +8,16 @@ widget:
   - example_title: "Local Query"
     text: "pie shop in brisbane"
 labels:
-  - 1
-  - 2
-  - 3
-  - 4
-  - 5
-  - 6
-  - 7
-  - 8
-  - 9
-  - 10
+  - LABEL_0: 'Commercial'
+  - LABEL_1: 'Non-Commercial'
+  - LABEL_2: 'Branded' # Unreliable. Needs-further fine-tuning.
+  - LABEL_3: 'Non-Branded' # Unreliable. Needs-further fine-tuning.
+  - LABEL_4: 'Informational'
+  - LABEL_5: 'Navigational'
+  - LABEL_6: 'Transactional'
+  - LABEL_7: 'Commercial Investigation'
+  - LABEL_8: 'Local'
+  - LABEL_9: 'Entertainment'
 ---
 Multi-label binary sequence classification model developed by [Dejan Marketing](https://dejanmarketing.com/).
 
@@ -25,15 +25,15 @@ This model is an albert/albert-base-v2 fine-tune trained to return an array of v
 
 # Labels
 
-    LABEL_0: 'Commercial',
-    LABEL_1: 'Non-Commercial',
-    LABEL_2: 'Branded', # Unreliable. Needs-further fine-tuning.
-    LABEL_3: 'Non-Branded', # Unreliable. Needs-further fine-tuning.
-    LABEL_4: 'Informational',
-    LABEL_5: 'Navigational',
-    LABEL_6: 'Transactional',
-    LABEL_7: 'Commercial Investigation',
-    LABEL_8: 'Local',
+    LABEL_0: 'Commercial'
+    LABEL_1: 'Non-Commercial'
+    LABEL_2: 'Branded' # Unreliable. Needs-further fine-tuning.
+    LABEL_3: 'Non-Branded' # Unreliable. Needs-further fine-tuning.
+    LABEL_4: 'Informational'
+    LABEL_5: 'Navigational'
+    LABEL_6: 'Transactional'
+    LABEL_7: 'Commercial Investigation'
+    LABEL_8: 'Local'
     LABEL_9: 'Entertainment'
 
 # Sources of Training Data