---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-finetuned-CNN-DailyNews
  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-CNN-DailyNews

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: 1.8693
- Rouge1: 0.1878
- Rouge2: 0.1058
- Rougel: 0.1653
- Rougelsum: 0.1752

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 2.6219        | 1.0   | 63   | 1.9905          | 0.1791 | 0.1034 | 0.1598 | 0.169     |
| 2.0525        | 2.0   | 126  | 1.8810          | 0.18   | 0.1038 | 0.1616 | 0.1701    |
| 1.7989        | 3.0   | 189  | 1.8439          | 0.189  | 0.1064 | 0.1679 | 0.176     |
| 1.6421        | 4.0   | 252  | 1.8411          | 0.1867 | 0.1066 | 0.1648 | 0.1739    |
| 1.4826        | 5.0   | 315  | 1.8437          | 0.1862 | 0.107  | 0.1657 | 0.1748    |
| 1.3858        | 6.0   | 378  | 1.8613          | 0.1881 | 0.1085 | 0.1671 | 0.1749    |
| 1.2879        | 7.0   | 441  | 1.8674          | 0.1835 | 0.1021 | 0.1621 | 0.171     |
| 1.2539        | 8.0   | 504  | 1.8693          | 0.1878 | 0.1058 | 0.1653 | 0.1752    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0