Update README.md

README.md

@@ -19,16 +19,44 @@ This is a fine-tuned BERT model that classifies YouTube channels content into ca
 
 ### Model Description
 
-<!-- Provide a longer summary of what this model is. -->
+Here’s a concise and clear **Model Description** you can include in your model card or `README.md` on Hugging Face Hub:
+
+---
+
+## Model Description
+
+This is a fine-tuned BERT-based classification model designed to categorize **YouTube video metadata**—specifically titles, descriptions into one of categories**:
+
+* **Education**
+* **Technology**
+* **Motivation**
+* **Entertainment**
+* **Gaming**
+
+The model is based on the `bert-base-uncased` architecture from the [Hugging Face Transformers](https://huggingface.co/transformers/) library and was fine-tuned using a labeled dataset of YouTube content. It is optimized for short text classification, making it ideal for content analytics, recommendation systems, and media monitoring tools focused on YouTube.
+
+---
+
+### Highlights
+
+* 🧠 **Model type:** BERT (Transformer-based)
+* 🔠 **Input:** Raw text (title + optional description)
+* 🎯 **Task:** Multi-class classification
+* 🏷️ **Classes:** 20 categories Such as Gaming,Technology,Finance etc
+* 📦 **Pretrained Base:** `bert-base-uncased`
+* 💡 **Use Case:** YouTube video categorization, content recommendation, channel analysis
+
+---
+
+Let me know if you also want a short version or something more technical for the `model-index` or metadata fields.
 
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
 
-- **Developed by:** [Jayesh Mehta]
+- **Developed by:** Jayesh Mehta
 - **Funded by [optional]:** [More Information Needed]
 - **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
+- **Model type:** BERT-based sequence classification model
+- **Language(s) (NLP):** English
+- **License:** Apache 2.0
 - **Finetuned from model [optional]:** [More Information Needed]
 
 ### Model Sources [optional]