---
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: 1.8725
- Rouge1: 0.1807
- Rouge2: 0.1041
- Rougel: 0.1614
- Rougelsum: 0.1694

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 2.6142        | 1.0   | 63   | 1.9661          | 0.1623 | 0.0912 | 0.1463 | 0.1523    |
| 2.0578        | 2.0   | 126  | 1.8842          | 0.1865 | 0.1034 | 0.1643 | 0.1735    |
| 1.7935        | 3.0   | 189  | 1.8447          | 0.1736 | 0.0951 | 0.1547 | 0.1623    |
| 1.6412        | 4.0   | 252  | 1.8515          | 0.1863 | 0.1043 | 0.1636 | 0.1727    |
| 1.4701        | 5.0   | 315  | 1.8509          | 0.1876 | 0.1072 | 0.1676 | 0.1758    |
| 1.3969        | 6.0   | 378  | 1.8537          | 0.1828 | 0.1037 | 0.1627 | 0.1731    |
| 1.2943        | 7.0   | 441  | 1.8540          | 0.183  | 0.1022 | 0.1629 | 0.1713    |
| 1.2581        | 8.0   | 504  | 1.8725          | 0.1807 | 0.1041 | 0.1614 | 0.1694    |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1