
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.

{"language": "en", "license": "apache-2.0", "tags": ["summarization"], "datasets": ["xsum"]}
transformers pytorch encoder-decoder text2text-generation summarization en dataset:xsum license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #encoder-decoder #text2text-generation #summarization #en #dataset-xsum #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


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 notebook.

TAGS
#transformers #pytorch #encoder-decoder #text2text-generation #summarization #en #dataset-xsum #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #encoder-decoder #text2text-generation #summarization #en #dataset-xsum #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
