Update README.md

README.md

@@ -1,22 +1,85 @@
 ---
-base_model: unsloth/llama-3.2-1b-instruct-unsloth-bnb-4bit
+license: apache-2.0
+base_model: meta-llama/Llama-3.2-1B-Instruct
 tags:
-- text-generation-inference
-- transformers
 - unsloth
-- llama
 - trl
-license: apache-2.0
+- sft
+- json
+- structured-output
+- fine-tuned
+- llama
+- pydantic
 language:
 - en
+pipeline_tag: text-generation
+library_name: transformers
 ---
 
-# Uploaded  model
+# Llama 3.2 1B JSON Extractor
+
+A fine-tuned version of **Llama 3.2 1B Instruct** specialized for generating structured JSON outputs with high accuracy and schema compliance.
+
+## 🎯 Model Description
+
+This model has been fine-tuned to excel at generating valid, well-structured JSON objects based on Pydantic model schemas. It transforms natural language prompts into properly formatted JSON responses with remarkable consistency.
+
+## 📊 Performance
+
+**🚀 Dramatic Improvement in JSON Generation:**
+- **JSON Validity Rate**: 20% → 92% (over 70% improvement)
+- **Schema Compliance**: Near-perfect adherence to Pydantic model structures
+- **Generalization**: Successfully handles completely new, unseen Pydantic model classes
+
+## 🔧 Training Details
+
+- **Base Model**: meta-llama/Llama-3.2-1B-Instruct
+- **Fine-tuning Method**: LoRA (Low-Rank Adaptation) with Unsloth
+- **Training Data**: Synthetic dataset with 15+ diverse Pydantic model types
+- **Training Epochs**: 15
+- **Batch Size**: 16 (with gradient accumulation)
+- **Learning Rate**: 1e-4
+
+## 🏗️ Supported Model Types
+
+The model can generate JSON for 15+ different object types including:
+
+- **Educational**: Course, Resume, Events
+- **Entertainment**: FilmIdea, BookReview, GameIdea
+- **Business**: TShirtOrder, Recipe, House
+- **Characters & Gaming**: FictionalCharacter, GameArtifact
+- **Travel**: Itinerary
+- **Science**: SollarSystem, TextSummary
+- **And many more...**
+
+## 🎯 Key Features
+
+- **High JSON Validity**: 92% success rate in generating valid JSON
+- **Schema Compliance**: Follows Pydantic model structures precisely  
+- **Strong Generalization**: Works with new, unseen model classes
+- **Consistent Output**: Reliable structured data generation
+- **Lightweight**: Only 1B parameters for efficient deployment
+
+## 📚 Training Data
+
+The model was fine-tuned on a synthetic dataset containing thousands of examples across diverse domains:
+- Character creation and game development
+- Business and e-commerce objects
+- Educational and professional content
+- Entertainment and media descriptions
+- Scientific and technical data structures
+
+## 🔗 Links
+
+- **GitHub Repository**: [LLM_FineTuning_4JsonCreation](https://github.com/Dekanenko/Llama_FineTune_JSON_Creation)
+- **Base Model**: [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)
+
+## 📄 License
 
-- **Developed by:** MathBite
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/llama-3.2-1b-instruct-unsloth-bnb-4bit
+This model is released under the Apache 2.0 license.
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+## 🙏 Acknowledgments
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+- **Meta** for the base Llama 3.2 model
+- **Unsloth** for efficient fine-tuning framework
+- **Hugging Face** for model hosting and ecosystem