26PyTorch experiment / 2026
Character-Level Text Generation on Shakespeare and Dickens
A controlled comparison of vanilla RNN and LSTM models across two literary corpora. The LSTM converged lower on both datasets and preserved more convincing punctuation, rhythm, and local structure.
- 1.703
- Best test loss
- 2.458
- Best BPC
- 4
- Controlled runs


