Update README.md

README.md

@@ -1,10 +1,3 @@
-# 🧠 IPAD — Inverse Prompt for AI Detection
-
-> **Fine-tuned Phi-3-Medium-128k-Instruct with LoRA using [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory)**  
-> Author: [@bellafc](https://huggingface.co/bellafc)
-
----
-
 ## 📘 Overview
 
 Large Language Models (LLMs) have achieved human-level fluency in text generation, making it increasingly difficult to distinguish between human- and AI-authored content.  
@@ -22,22 +15,6 @@ trained using [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) for **ro
 
 ---
 
-## ⚙️ Model Details
-
-| Property | Description |
-|-----------|-------------|
-| **Base model** | [`microsoft/Phi-3-medium-128k-instruct`](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct) |
-| **Architecture** | Decoder-only Transformer |
-| **Fine-tuning** | LoRA (rank-8, α=16, dropout=0.05) |
-| **Context length** | 128k tokens |
-| **Framework** | [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) |
-| **Task** | AI Text Detection (Discriminator) |
-| **Language** | English |
-| **License** | Apache 2.0 |
-| **Author** | [@bellafc](https://huggingface.co/bellafc) |
-
----
-
 ## 🚀 Quick Usage
 
 ### 🧩 Prompt Inverter
@@ -94,4 +71,18 @@ probs = softmax(gen.scores[0], dim=-1)
 yes_token_id = tokenizer(" yes", add_special_tokens=False).input_ids[0]
 print("Generated:", generated_text)
 print(f"P('yes') = {probs[0, yes_token_id].item():.4f}")
-```
+```
+
+---
+
+## ⚙️ Model Details
+
+| Property | Description |
+|-----------|-------------|
+| **Base model** | [`microsoft/Phi-3-medium-128k-instruct`](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct) |
+| **Context length** | 128k tokens |
+| **Framework** | [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) |
+| **Task** | AI Text Detection (Discriminator) |
+| **Language** | English |
+| **License** | Apache 2.0 |
+| **Author** | [@bellafc](https://huggingface.co/bellafc) |