Update README.md

README.md

@@ -1,22 +1,31 @@
 ---
 license: mit
 ---
-## 🧩 Base Model
+#  CLI LoRA-TinyLlama
 
-- **Base**: [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)
-- **Fine-tuned using**: [LoRA (Low-Rank Adaptation)](https://arxiv.org/abs/2106.09685)
-- **Frameworks**: Hugging Face `transformers`, `peft`, `datasets`, `accelerate`
+Fine-tuned version of [TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on a custom dataset of CLI-related Q&A using LoRA (Low-Rank Adaptation).
 
-## 🗂️ Dataset
+---
+
+## Base Model
+- **Model**: `TinyLlama/TinyLlama-1.1B-Chat-v1.0`
+- **Technique**: Fine-tuning using [LoRA](https://arxiv.org/abs/2106.09685)
+- **Libraries**: `transformers`, `peft`, `datasets`, `accelerate`
+
+---
 
-- Custom dataset of 150+ Q&A pairs on CLI topics (git, bash, grep, tar, venv)
-- Stored in `cli_questions.json`
-- Tokenized and saved in `tokenized_dataset/`
+##  Dataset
+- Custom-made with **150+ Q&A** pairs on:
+  - `git`, `bash`, `grep`, `tar`, `venv`
+- Stored in: `cli_questions.json`
+- Tokenized version: `tokenized_dataset/`
 
-## 🏗️ Fine-Tuning
+---
 
+##  Fine-Tuning Configuration
 ```python
 base_model = "TinyLlama/TinyLlama-1.1B-Chat-v1.0"
+
 lora_config = LoraConfig(
     r=16,
     lora_alpha=32,