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# bart-cnn-samsum-peft

This model is a fine-tuned version of [ingeniumacademy/bart-cnn-samsum-finetuned](https://huggingface.co/ingeniumacademy/bart-cnn-samsum-finetuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2334

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0678        | 1.0   | 74   | 0.2392          |
| 0.0886        | 2.0   | 148  | 0.2317          |
| 0.0803        | 3.0   | 222  | 0.2285          |
| 0.0866        | 4.0   | 296  | 0.2327          |
| 0.0876        | 5.0   | 370  | 0.2334          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "ingeniumacademy/bart-cnn-samsum-finetuned", "model-index": [{"name": "bart-cnn-samsum-peft", "results": []}]}
tensorboard safetensors generated_from_trainer base_model:ingeniumacademy/bart-cnn-samsum-finetuned license:mit region:us