transformers tensorboard safetensors bart text2text-generation generated_from_trainer base_model:facebook/bart-large-cnn license:mit autotrain_compatible endpoints_compatible region:us
---
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
model-index:
- name: bart-cnn-samsum-peft-trained-x
  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-trained-x

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: 0.0489

## 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7177        | 1.0   | 200  | 2.2686          |
| 0.1079        | 2.0   | 400  | 0.0782          |
| 0.0679        | 3.0   | 600  | 0.0565          |
| 0.0639        | 4.0   | 800  | 0.0528          |
| 0.052         | 5.0   | 1000 | 0.0509          |
| 0.0542        | 6.0   | 1200 | 0.0498          |
| 0.0545        | 7.0   | 1400 | 0.0491          |
| 0.0542        | 8.0   | 1600 | 0.0489          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
