Bart Conversation Summarizer

🚀 Bart-large-cnn-samsum for Conversation Summarization

This project utilizes the bart-large-cnn-samsum model for conversation summarization, trained on the SAMSum Corpus. It aims to provide accurate summaries of conversations, making it easier to understand the key points.

📦 Installation

No installation steps were provided in the original document, so this section is skipped.

💻 Usage Examples

No code examples were provided in the original document, so this section is skipped.

📚 Documentation

Dataset

The model is trained on the following dataset:

• Name: SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
• Type: samsum

Model Performance

The performance of the bart-large-cnn-samsum model on the validation set is as follows:

Example Conversation

Here is an example conversation that the model can summarize:

Laurie, Christie, and Sarah are discussing their plans for the weekend. They decide to go to a 2:00 PM movie at Cinemax 26 to see "Enchanted". They will meet at Summer Pizza House at noon to have pizza beforehand. Sarah asks if she can bring her cousin Karen, who is in town. Karen graduated last June and will start teaching kindergarten next week. They also consider asking Karen for Halloween craft ideas and plan to stop by Michael’s craft store after the movie, which is near the cinema.

📄 License

No license information was provided in the original document, so this section is skipped.