tensorboard safetensors generated_from_trainer dataset:samsum base_model:ashwaninbs/bart-cnn-samsum-finetuned license:mit region:us
---
license: mit
base_model: ashwaninbs/bart-cnn-samsum-finetuned
tags:
- generated_from_trainer
datasets:
- samsum
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 [ashwaninbs/bart-cnn-samsum-finetuned](https://huggingface.co/ashwaninbs/bart-cnn-samsum-finetuned) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1319

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0661        | 1.0   | 74   | 0.1318          |
| 0.0869        | 2.0   | 148  | 0.1319          |
| 0.0604        | 3.0   | 222  | 0.1318          |
| 0.0749        | 4.0   | 296  | 0.1319          |
| 0.0737        | 5.0   | 370  | 0.1319          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
