Update README.md

README.md

@@ -8,10 +8,21 @@ model-index:
 - name: bert-BBc-classifier
   results: []
 ---
+# BERT News Category Classifier
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+This model is a fine-tuned version of `bert-base-uncased` optimized to classify articles into 5 categories (Business, Tech, Politics, Sports, Entertainment). 
 
+## Model Description
+* **Architecture:** BERT-base-uncased with frozen base layers for training efficiency.
+* **Task:** Multi-class Text Classification (NLP Pipeline).
+* **Performance:** Achieved a 0.96 Macro-F1 score on evaluation.
+
+## Training and Evaluation Data
+* **Dataset:** BBC News Dataset.
+* **Preprocessing:** Cleaned text fields tokenized using the standard BERT WordPiece tokenizer.
+
+## Intended Uses & Limitations
+This model is intended for production-ready news classification pipelines. It is lightweight due to layer-freezing optimization during training.
 # bert-BBc-classifier
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.