---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- rouge
model-index:
- name: bart-base-finetuned-amazon-onlyen
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: amazon_reviews_multi
      type: amazon_reviews_multi
      args: en
    metrics:
    - name: Rouge1
      type: rouge
      value: 17.2662
---

<!-- 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. -->

# bart-base-finetuned-amazon-onlyen

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the amazon_reviews_multi dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7572
- Rouge1: 17.2662
- Rouge2: 8.7425
- Rougel: 16.5765
- Rougelsum: 16.6844

## 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: 5.6e-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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.9212        | 1.0   | 771  | 2.8034          | 15.381  | 8.5254  | 15.223  | 15.059    |
| 2.3109        | 2.0   | 1542 | 2.8386          | 19.8947 | 11.0965 | 19.4876 | 19.5366   |
| 1.8973        | 3.0   | 2313 | 2.9258          | 17.7443 | 8.9232  | 17.311  | 17.1796   |
| 1.5421        | 4.0   | 3084 | 3.0696          | 17.8204 | 8.8919  | 17.3889 | 17.205    |
| 1.2391        | 5.0   | 3855 | 3.2609          | 15.9828 | 8.0523  | 15.393  | 15.3808   |
| 0.9736        | 6.0   | 4626 | 3.4080          | 15.7572 | 8.806   | 15.2435 | 15.3036   |
| 0.7824        | 7.0   | 5397 | 3.5537          | 18.4389 | 9.5135  | 17.7836 | 17.8758   |
| 0.6233        | 8.0   | 6168 | 3.6909          | 14.6698 | 6.9584  | 13.9417 | 14.0057   |
| 0.5086        | 9.0   | 6939 | 3.7357          | 16.9465 | 7.7604  | 16.1993 | 16.2963   |
| 0.4412        | 10.0  | 7710 | 3.7572          | 17.2662 | 8.7425  | 16.5765 | 16.6844   |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1