Not only on composition tasks but also on structure-related tasks, the 110-million-parameter AlchemBERT demonstrates strong potential as a property predictor. Due to computational power constraints, we have not extensively explored various prompt formats. Nevertheless, even with the current natural language prompts, AlchemBERT shows promising results compared to raw format input. We hope that future research will explore novel and more innovative prompt designs to further enhance performance and facilitate material discovery and design.