---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-finetuned-xsum
  results: []
---

<!-- 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-xsum

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7802
- Rouge1: 10.2143
- Rouge2: 5.6684
- Rougel: 8.8677
- Rougelsum: 9.8692
- Gen Len: 20.0

## 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: 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 | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
| 3.1154        | 1.0   | 501  | 2.1511          | 10.4214 | 5.0073 | 8.8506 | 9.9896    | 19.982  |
| 2.1503        | 2.0   | 1002 | 1.9367          | 10.2207 | 5.631  | 8.9531 | 9.9404    | 20.0    |
| 1.9303        | 3.0   | 1503 | 1.8703          | 10.4496 | 5.8424 | 9.1    | 10.1692   | 20.0    |
| 1.8227        | 4.0   | 2004 | 1.8365          | 10.3195 | 5.6383 | 8.9427 | 10.0217   | 20.0    |
| 1.7561        | 5.0   | 2505 | 1.8137          | 10.3644 | 5.7409 | 8.9742 | 10.0328   | 20.0    |
| 1.6962        | 6.0   | 3006 | 1.7963          | 10.307  | 5.7619 | 8.9713 | 10.0001   | 20.0    |
| 1.6573        | 7.0   | 3507 | 1.7906          | 10.2633 | 5.6772 | 8.9086 | 9.9373    | 20.0    |
| 1.6357        | 8.0   | 4008 | 1.7808          | 10.3619 | 5.7546 | 9.0124 | 10.02     | 20.0    |
| 1.6269        | 9.0   | 4509 | 1.7808          | 10.2688 | 5.6934 | 8.934  | 9.9284    | 20.0    |
| 1.6031        | 10.0  | 5010 | 1.7802          | 10.2143 | 5.6684 | 8.8677 | 9.8692    | 20.0    |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3