Update model card with proper metadata

README.md

@@ -1,14 +1,30 @@
+---
+language: en
+tags:
+- pytorch
+- gpt2
+- text-generation
+- nanoGPT
+license: mit
+datasets:
+- custom
+model-index:
+- name: chatMachineProto
+  results: []
+---
+
 # NanoGPT Personal Experiment
 
-This repository contains my personal experiment with training and fine-tuning a GPT-2 style language model. This project was undertaken as a learning exercise to understand transformer-based language models and explore the capabilities of modern AI architectures.
+This repository contains my personal experiment with training and fine-tuning a GPT-2 style language model using the nanoGPT architecture. This project was undertaken as a learning exercise to understand transformer-based language models and explore the capabilities of modern AI architectures.
 
 ## Model Description
 
-The architecture follows the original GPT-2 design principles while being more accessible and easier to understand.
+This model is based on the nanoGPT implementation, which is a minimal, clean implementation of GPT-2 style models. The architecture follows the original GPT-2 design principles while being more accessible and easier to understand.
 
 ### Technical Details
 
 - Base Architecture: GPT-2
+- Implementation: nanoGPT
 - Training Infrastructure: 8x A100 80GB GPUs
 - Parameters: ~124M (similar to GPT-2 small)
 
@@ -16,7 +32,8 @@ The architecture follows the original GPT-2 design principles while being more a
 
 The model underwent a multi-stage training process:
 1. Initial training on a subset of the OpenWebText dataset
-2. Experimentation with different hyperparameters and optimization techniques
+2. Fine-tuning experiments on various datasets including Shakespeare's works
+3. Experimentation with different hyperparameters and optimization techniques
 
 ### Features