Update README.md

README.md

@@ -10,7 +10,7 @@ base_model:
 
 [[Paper](https://arxiv.org/abs/2502.10341)] [[Website](https://weborganizer.allenai.org)] [[GitHub](https://github.com/CodeCreator/WebOrganizer)]
 
-The TopicClassifier organizes web content into 17 categories based on the URL and text contents of web pages.
+The TopicClassifier organizes web content into 24 categories based on the URL and text contents of web pages.
 The model is a [gte-base-en-v1.5](https://huggingface.co/Alibaba-NLP/gte-base-en-v1.5) with 140M parameters fine-tuned on the following training data:
 1. [WebOrganizer/TopicAnnotations-Llama-3.1-8B](https://huggingface.co/datasets/WebOrganizer/TopicAnnotations-Llama-3.1-8B): 1M documents annotated by Llama-3.1-8B (first-stage training)
 2. [WebOrganizer/TopicAnnotations-Llama-3.1-405B-FP8](https://huggingface.co/datasets/WebOrganizer/TopicAnnotations-Llama-3.1-405B-FP8): 100K documents annotated by Llama-3.1-405B-FP8 (second-stage training)