---
license: apache-2.0
base_model: facebook/bart-base
metrics:
- rouge
model-index:
- name: bart-base-finetuned-samsum
  results: []
language:
- en
pipeline_tag: summarization
---

<!-- 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-samsum

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5273
- Rouge1: 46.8865
- Rouge2: 23.8976
- Rougel: 39.8604
- Rougelsum: 43.0185
- Gen Len: 18.0659

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.0008        | 1.0   | 921  | 1.6050          | 45.4152 | 21.5898 | 38.2192 | 41.5283   | 18.3272 |
| 1.6741        | 2.0   | 1842 | 1.5611          | 45.6316 | 22.7331 | 38.6353 | 42.0206   | 17.9963 |
| 1.547         | 3.0   | 2763 | 1.5362          | 46.4511 | 23.218  | 39.1461 | 42.4645   | 17.9255 |
| 1.4668        | 4.0   | 3684 | 1.5338          | 46.8899 | 23.7554 | 39.7789 | 43.0769   | 18.3553 |
| 1.4218        | 5.0   | 4605 | 1.5273          | 46.8865 | 23.8976 | 39.8604 | 43.0185   | 18.0659 |


### Framework versions

- Transformers 4.40.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.0
- Tokenizers 0.19.1