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---
language: en
license: apache-2.0
datasets:
- cnn_dailymail
tags:
- summarization
model-index:
- name: patrickvonplaten/bert2bert_cnn_daily_mail
results:
- task:
type: summarization
name: Summarization
dataset:
name: cnn_dailymail
type: cnn_dailymail
config: 3.0.0
split: test
metrics:
- name: ROUGE-1
type: rouge
value: 41.2808
verified: true
- name: ROUGE-2
type: rouge
value: 18.6853
verified: true
- name: ROUGE-L
type: rouge
value: 28.191
verified: true
- name: ROUGE-LSUM
type: rouge
value: 38.0871
verified: true
- name: loss
type: loss
value: 2.3451855182647705
verified: true
- name: gen_len
type: gen_len
value: 73.8332
verified: true
---
Bert2Bert Summarization with 🤗EncoderDecoder Framework
This model is a warm-started *BERT2BERT* model fine-tuned on the *CNN/Dailymail* summarization dataset.
The model achieves a **18.22** ROUGE-2 score on *CNN/Dailymail*'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.
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