transformers pytorch bart text2text-generation summarization en dataset:amazon_reviews_multi license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
datasets:
- amazon_reviews_multi
language: en
license: apache-2.0
tags:
- summarization
thumbnail: https://huggingface.co/front/thumbnails/distilbart_medium.png
---
### Usage

This checkpoint should be loaded into `BartForConditionalGeneration.from_pretrained`. See the [BART docs](https://huggingface.co/transformers/model_doc/bart.html?#transformers.BartForConditionalGeneration) for more information.

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-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
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:|:---------:|:-------:|
| 1.2875        | 1.0   | 5754 | 1.6294          | 11.009 | 7.4618 | 10.5573 | 10.8087   | 58.3382 |


### Framework versions

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