# Fine-tuned BART Model

A text summarization model based on the BART-large architecture, fine-tuned for 10 epochs on an unknown dataset, excelling in generating resume summaries.

A sequence-to-sequence model based on the BART architecture, specifically fine-tuned for meeting and dialogue summarization tasks, capable of generating abstractive summaries from various dialogue data.

A sequence-to-sequence model based on the BART-large architecture, specifically fine-tuned for meeting summarization tasks and supports multi-dataset training

A sequence-to-sequence model based on the BART architecture, fine-tuned on the CNN/DailyMail dataset, suitable for text summarization tasks.