---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xlsum
metrics:
- rouge
model-index:
- name: bart-base-finetuned-xlsum
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: xlsum
      type: xlsum
      args: english
    metrics:
    - name: Rouge1
      type: rouge
      value: 36.7016
---

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

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the xlsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8367
- Rouge1: 36.7016
- Rouge2: 15.3377
- Rougel: 29.8655
- Rougelsum: 29.9287
- Gen Len: 19.571

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.0991        | 1.0   | 19158 | 1.8367          | 36.7016 | 15.3377 | 29.8655 | 29.9287   | 19.571  |


### Framework versions

- Transformers 4.13.0
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.10.3