---
base_model: google/pegasus-cnn_dailymail
tags:
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: my_awesome_pegsasus_model
  results: []
language:
- en
metrics:
- rouge
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# my_awesome_pegsasus_model

This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the xlsum dataset.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data


| Metric | Score |
|--------|-------|
| ROUGE-1 F1 | 0.386277 |
| ROUGE-2 F1 | 0.166917 |
| ROUGE-L F1 | 0.301018	|
| ROUGE-LSUM F1 | 0.300885	|

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3