---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart_samsum_model
  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_samsum_model

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5355
- Rouge1: 0.4698
- Rouge2: 0.2352
- Rougel: 0.397
- Rougelsum: 0.3963
- Gen Len: 18.1368

## 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: 2e-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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.8239        | 1.0   | 1842 | 1.5911          | 0.4604 | 0.2229 | 0.3882 | 0.3878    | 18.5128 |
| 1.6012        | 2.0   | 3684 | 1.5462          | 0.4648 | 0.2332 | 0.395  | 0.3945    | 17.9866 |
| 1.4771        | 3.0   | 5526 | 1.5355          | 0.4698 | 0.2352 | 0.397  | 0.3963    | 18.1368 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0