---
base_model: Kain17/bart-cnn-samsum-finetuned
datasets:
- samsum
library_name: peft
license: mit
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
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# bart-cnn-samsum-peft

This model is a fine-tuned version of [Kain17/bart-cnn-samsum-finetuned](https://huggingface.co./Kain17/bart-cnn-samsum-finetuned) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1056

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0636        | 1.0   | 37   | 0.1058          |
| 0.0704        | 2.0   | 74   | 0.1056          |
| 0.0754        | 3.0   | 111  | 0.1055          |
| 0.0571        | 4.0   | 148  | 0.1056          |
| 0.0633        | 5.0   | 185  | 0.1056          |


### Framework versions

- PEFT 0.13.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1