Update README.md

README.md

@@ -1,17 +1,26 @@
 ---
 library_name: transformers
-tags: []
+tags:
+- deberta
+- deberta-v3
+- mdeberta
+- multilingual
+language:
+- multilingual
+- th
+- en
+license: mit
+base_model:
+- microsoft/mdeberta-v3-base
 ---
 
-# Model Card for Model ID
+# Model Card for Typhoon Safety Model
 
 Typhoon Safety Model
 
-Typhoon Safety is a lightweight binary classifier designed to detect harmful content in both English and Thai, with special attention to Thai cultural sensitivities. Built on mDeBERTa-v3-base.
+Typhoon Safety is a lightweight binary classifier built on mDeBERTa-v3-base that detects harmful content in both English and Thai languages, with particular emphasis on Thai cultural sensitivities. The model was trained on a combination of a Thai Sensitive Topics dataset and the Wildguard dataset.
 
-Train on mixed of Thai Sensitive topic dataset and Wildguard.
-
-this model is trained to predict safety labels on below categories.
+The model is designed to predict safety labels across the following categories: 
 
 <div class="section-header">Thai Sensitive Topics</div>
 <table align="center">
@@ -31,7 +40,7 @@ this model is trained to predict safety labels on below categories.
   <tr>
     <td>Cannabis</td>
     <td>Human Trafficking</td>
-    <td>Military and Coup/td>
+    <td>Military and Coup</td>
   </tr>
   <tr>
     <td>LGBTQ+ Rights</td>
@@ -94,8 +103,6 @@ this model is trained to predict safety labels on below categories.
 
 ## Model Details
 
-### Model Description
-
 ## Model Performance
 
 ### Comparison with Other Models (English Content)