---
license: apache-2.0
base_model: facebook/bart-base
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-finetuned-findsum
  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-base-finetuned-findsum

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: 1.6429
- Rouge1: 6.8486
- Rouge2: 3.1822
- Rougel: 6.0536
- Rougelsum: 6.4854

## 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: 5.6e-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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 2.3078        | 1.0   | 1000 | 1.9298          | 6.7515 | 3.1533 | 5.9971 | 6.3848    |
| 1.9556        | 2.0   | 2000 | 1.7880          | 6.8376 | 3.2002 | 6.0356 | 6.4897    |
| 1.8076        | 3.0   | 3000 | 1.7108          | 6.9082 | 3.1048 | 6.0637 | 6.5127    |
| 1.7145        | 4.0   | 4000 | 1.6575          | 6.8643 | 3.1987 | 6.0574 | 6.4882    |
| 1.6575        | 5.0   | 5000 | 1.6429          | 6.8486 | 3.1822 | 6.0536 | 6.4854    |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2