🎠GPT-2 124M Shakespeare Text Generator
This model was trained on Shakespeare's complete works to generate text in Shakespearean style.
Model Details:
- Architecture: GPT-2 (124M parameters)
- Training: Decoder-only transformer
- Dataset: Shakespeare's complete works
- Training loss: < 0.1
Instructions:
- Enter a prompt to start the generation
- Adjust parameters to control the output
- Click "Generate" to create text
50 500
0.1 2
10 100
1 3
Example Prompts
| Prompt | Max Length | Temperature | Top-K | Number of Samples |
|---|
Tips for Best Results:
- Use character names or dialogue markers (e.g., "ROMEO:", "First Citizen:")
- Start with famous quotes or phrases from Shakespeare
- Adjust temperature: 0.7-0.9 for coherent text, 1.0+ for creative variations
- Lower top-k (20-30) for more focused text, higher (50-80) for diversity
About the Model:
This is a GPT-2 model with 124M parameters trained from scratch on Shakespeare's works. The model uses:
- 12 transformer layers
- 12 attention heads
- 768 embedding dimensions
- Causal self-attention mechanism