---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: Gundra/bart-cnn-samsum-finetuned
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 [Gundra/bart-cnn-samsum-finetuned](https://huggingface.co/Gundra/bart-cnn-samsum-finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1472

## 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: 1e-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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0577        | 1.0   | 37   | 0.1481          |
| 0.0631        | 2.0   | 74   | 0.1481          |
| 0.0674        | 3.0   | 111  | 0.1468          |
| 0.0526        | 4.0   | 148  | 0.1472          |
| 0.0591        | 5.0   | 185  | 0.1472          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2