---
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: 1.6579
- Rouge1: 6.91
- Rouge2: 3.2425
- Rougel: 6.1175
- Rougelsum: 6.5356

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 2.3034        | 1.0   | 1000 | 1.9298          | 6.7298 | 3.0582 | 5.932  | 6.3501    |
| 1.9526        | 2.0   | 2000 | 1.8003          | 7.0291 | 3.2546 | 6.1777 | 6.6368    |
| 1.8053        | 3.0   | 3000 | 1.7199          | 6.9328 | 3.2489 | 6.1701 | 6.5512    |
| 1.7113        | 4.0   | 4000 | 1.6741          | 6.9283 | 3.2114 | 6.1239 | 6.5354    |
| 1.654         | 5.0   | 5000 | 1.6579          | 6.91   | 3.2425 | 6.1175 | 6.5356    |


### Framework versions

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