pytorch encoder-decoder seq2seq en dataset:xsum transformers license:apache-2.0 summarization text2text-generation
.gitattributes README.md config.json merges.txt pytorch_model.bin special_tokens_map.json tokenizer_config.json vocab.json
---
language: en
license: apache-2.0
datasets:
- xsum
tags:
- summarization
---

Shared RoBERTa2RoBERTa Summarization with 🤗EncoderDecoder Framework
This model is a warm-started *RoBERTaShared* model fine-tuned on the *BBC XSum* summarization dataset.

The model achieves a **16.89** ROUGE-2 score on *BBC XSUM*'s test dataset.

For more details on how the model was fine-tuned, please refer to 
[this](https://colab.research.google.com/drive/1Ekd5pUeCX7VOrMx94_czTkwNtLN32Uyu?usp=sharing) notebook.
