An abstractive text summarization technique using transformer model with self-attention mechanism

1 code implementation • Neural Computing and Applications 2023 • Sandeep Kumar, Arun Solanki

The proposed model gives the training loss minimum to 1. 8220 from 10. 3058 (at the starting point) up to 30 epochs, and it achieved model accuracy 48. 50% F1-Score on both the Inshorts and DUC-2004 news datasets.

Abstractive Text Summarization