---
language: 
- English
-
thumbnail: 
tags:
- 
-
- 
license: 
datasets:
- XSUM, Gigaword
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metrics:
- Rouge
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---

# Pegasus XSUM Gigaword

## Model description

Pegasus XSUM model finetuned to Gigaword Summarization task 

## Intended uses & limitations
Produces short summaries with the coherence of the XSUM Model
#### How to use

```python
# You can include sample code which will be formatted
```

#### Limitations and bias

Still has all the biases of any of the abstractive models, but seems a little less prone to hallucination. 
## Training data

Initialized with pegasus-XSUM

## Training procedure

Trained for 11500 iterations on Gigaword corpus using OOB seq2seq (from hugging face using the default parameters)

## Eval results
Evaluated on Gigaword evaluation set (from hugging face using the default parameters)
eval_rouge1               =  47.8218
eval_rouge2               =  23.1533
eval_rougeL               =   44.341
eval_rougeLsum            =  44.3198

### BibTeX entry and citation info

```bibtex
@inproceedings{...,
  year={2020}
}
```