---
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
model-index:
- name: bart-cnn-samsum-peft
  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-cnn-samsum-peft

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co./facebook/bart-large-cnn) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0894

## 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: 5e-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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1055        | 1.0   | 74   | 0.1344          |
| 0.0941        | 2.0   | 148  | 0.1314          |
| 0.1007        | 3.0   | 222  | 0.1292          |
| 0.0683        | 4.0   | 296  | 0.1195          |
| 0.0647        | 5.0   | 370  | 0.1081          |
| 0.0628        | 6.0   | 444  | 0.1015          |
| 0.0611        | 7.0   | 518  | 0.0992          |
| 0.0502        | 8.0   | 592  | 0.0957          |
| 0.045         | 9.0   | 666  | 0.0920          |
| 0.0512        | 10.0  | 740  | 0.0931          |
| 0.0465        | 11.0  | 814  | 0.0926          |
| 0.0478        | 12.0  | 888  | 0.0902          |
| 0.0517        | 13.0  | 962  | 0.0902          |
| 0.0441        | 14.0  | 1036 | 0.0896          |
| 0.0484        | 15.0  | 1110 | 0.0894          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.1