Update README.md

README.md

@@ -1,7 +1,19 @@
+---
+license: mit
+language:
+  - en
+tags:
+  - generative-ai
+  - text-generation
+  - transformer
+  - pytorch
+  - gpt
+library_name: pytorch
+---
+
 # Nexora-1
 
-Nexora-1 is a GPT-style generative language model built from scratch
-using PyTorch.
+Nexora-1 is a GPT-style generative language model built from scratch using PyTorch.
 
 ## Model Architecture
 
@@ -14,22 +26,25 @@ using PyTorch.
 - Tokenization: Character-level
 - Vocabulary Size: 2,100
 
-## Training
+## Training Dataset
 
 - Dataset: English Wikipedia
 - Articles: 4,742
 - Training tokens: 62,947,221
 - Validation tokens: 6,994,136
 
-## Training Objective
+## Training
 
-Nexora-1 is trained for autoregressive next-character prediction.
+Nexora-1 was trained using autoregressive next-character prediction.
 
-## Generation
+## Framework
 
-The model generates text using autoregressive sampling
-with temperature control.
+PyTorch
 
-## Framework
+## Model Usage
+
+The model can be loaded and used for text generation with the appropriate Nexora-1 model architecture and tokenizer configuration.
+
+## Limitations
 
-PyTorch
+Nexora-1 is a small, character-level language model trained on Wikipedia text. It is primarily designed for experimentation and learning and is not an instruction-tuned conversational model.