Update README.md

README.md

@@ -1,8 +1,22 @@
 ---
 license: apache-2.0
+language:
+- en
+base_model:
+- vinai/bertweet-base
+pipeline_tag: text-classification
+tags:
+- text-classification
+- abusive-language
+- hate-speech
+- toxicity
+- bert
+- abusive
+- cyberviolence
+- abusive-language-detection
 ---
 AbuseBERT is a BERT-based model fine-tuned for abusive language detection.  
 It leverages ten diverse datasets harmonized under a unified taxonomy to improve cross-dataset generalization.  
 The integrated approach mitigates sampling and lexical biases, achieving superior F1 scores on held-out benchmarks compared to models trained on individual datasets.  
 
-AbuseBERT is designed to be **robust and generalizable across platforms, domains, and contexts**, making it well-suited for research, social media moderation studies, and real-world abusive language detection tasks.
+AbuseBERT is designed to be **robust and generalizable across platforms, domains, and contexts**, making it well-suited for research, social media moderation studies, and real-world abusive language detection tasks.