Update data card

yaml data has been updated.

README.md

@@ -1,3 +1,11 @@
+---
+license: mit
+language:
+- en
+base_model:
+- distilbert/distilbert-base-uncased
+pipeline_tag: text-classification
+---
 
 # Topic Classifier
 
@@ -125,4 +133,4 @@ The model's evaluation results are as follows:
 
 The Topic Classifier achieves high accuracy, precision, recall, and F1-score, making it a reliable model for categorizing text across the domains of corporate documents, financial content, harmful content, and medical texts. The model is optimized for immediate deployment and works efficiently in real-world applications.
 
-For more information or to try the model yourself, check out the public space [here](https://huggingface.co/spaces/daxa-ai/Topic-Classifier-2).
+For more information or to try the model yourself, check out the public space [here](https://huggingface.co/spaces/daxa-ai/Topic-Classifier-2).