---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wiki_lingua
metrics:
- rouge
model-index:
- name: results
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: wiki_lingua
      type: wiki_lingua
      config: english
      split: train[:10]
      args: english
    metrics:
    - name: Rouge1
      type: rouge
      value: 16.9502
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# results

This model is a fine-tuned version of [sshleifer/distilbart-xsum-12-3](https://huggingface.co/sshleifer/distilbart-xsum-12-3) on the wiki_lingua dataset.
It achieves the following results on the evaluation set:
- Loss: 7.4393
- Rouge1: 16.9502
- Rouge2: 1.9608
- Rougel: 15.0983
- Rougelsum: 16.9502
- Gen Len: 19.3333

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- label_smoothing_factor: 0.1

### Training results



### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3