Moving to the evaluation of abstractive summaries, we employed both ROUGE and BERTScore metrics to evaluate the quality of the generated summaries. The ROUGE score measured the similarity between the generated summaries and the gold standard summaries provided by human annotators, offering a quantitative assessment of the summarization process's fidelity to the original text. ROUGE-1, ROUGE-2, and ROUGE-L scores of 0.58, 0.36, and 0.56 respectively were obtained, indicating a substantial overlap between the generated and gold standard summaries. Additionally, the BERTScore provided a more nuanced evaluation by assessing the semantic similarity between the generated and gold standard summaries, offering insights into the coherence and meaningfulness of the generated summaries. A BERTScore of 0.92 was achieved, indicating a high level of semantic similarity between the generated and gold standard summaries.