Update README.md

README.md

@@ -1,21 +1,46 @@
 ---
-base_model: unsloth/llama-3.2-1b-instruct-bnb-4bit
+license: apache-2.0
+base_model: unsloth/Llama-3.2-1B-instruct-bnb-4bit
 tags:
-- text-generation-inference
-- transformers
+- text-to-json
 - unsloth
-- llama
-license: apache-2.0
+- llama-3
+- fine-tuned
+- extraction
 language:
 - en
+- es
 ---
 
-# Uploaded finetuned  model
+# 🚀 Llama-3.2-1B-JSON-Extractor
+
+This model is a professional fine-tuned version of **Llama 3.2 1B Instruct**, specialized in converting **Natural Language into structured JSON objects**.
+
+## 🎯 Project Goal
+The system interprets human intent and extracts key entities into a machine-readable format. It is designed to be the bridge between human communication and database systems.
+
+### Extracted Fields:
+- `product`: Name or description of the item.
+- `price`: Numerical value (currency independent).
+- `category`: Market segment or classification.
+
+## 🛠️ Technical Specifications
+- **Architecture**: Llama 3.2 1B
+- **Optimization**: QLoRA (4-bit)
+- **Rank (r)**: 16
+- **Alpha**: 32
+- **Learning Rate**: 2e-4
+- **Final Training Loss**: ~0.013 (High precision)
 
-- **Developed by:** ivanasp
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/llama-3.2-1b-instruct-bnb-4bit
+## 💡 Usage Example
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+**Input:**
+> "I want to sell a Sony PlayStation 5 for 500 dollars in the gaming category."
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+**Output:**
+```json
+{
+  "product": "Sony PlayStation 5",
+  "price": 500,
+  "category": "gaming"
+}