Update README.md

README.md

@@ -2,34 +2,37 @@
 language: en
 license: mit
 tags:
-  - expense-categorization
-  - financial-transactions
-  - machine-learning
-  - tax-compliance
+- expense-categorization
+- financial-transactions
+- machine-learning
+- tax-compliance
 model-index:
-  - name: Finlytic-Categorize
-    results:
-      - task:
-          type: expense-categorization
-        dataset:
-          name: finlytic-financial-data
-          type: financial-transactions
-        metrics:
-          - name: Accuracy
-            type: accuracy
-            value: 94.00
-          - name: Precision
-            type: precision
-            value: 91.00
-          - name: Recall
-            type: recall
-            value: 89.00
-          - name: F1-Score
-            type: f1
-            value: 90.00
-        source:
-          name: Internal Evaluation
-          url: https://huggingface.co/comethrusws/finlytic-categorize
+- name: Finlytic-Categorize
+  results:
+  - task:
+      type: expense-categorization
+    dataset:
+      name: finlytic-financial-data
+      type: financial-transactions
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 94
+    - name: Precision
+      type: precision
+      value: 91
+    - name: Recall
+      type: recall
+      value: 89
+    - name: F1-Score
+      type: f1
+      value: 90
+    source:
+      name: Internal Evaluation
+      url: https://huggingface.co/comethrusws/finlytic-categorize
+    base_model: openai-community/gpt2
+base_model:
+- openai-community/gpt2
 ---
 
 # Finlytic-Categorize
@@ -105,4 +108,4 @@ The model was evaluated using a hold-out validation set and achieved high accura
 
 ## Contact
 
-For queries or contributions, reach out to the Finlytic development team at [finlyticdevs@gmail.com)](mailto:finlyticdevs@gmail.com).
+For queries or contributions, reach out to the Finlytic development team at [finlyticdevs@gmail.com)](mailto:finlyticdevs@gmail.com).