---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wiki_auto
model-index:
- name: bart-base-finetuned-text-simplification
  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-text-simplification

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the wiki_auto dataset.
It achieves the following results on the evaluation set:
- Loss: 7.4564
- Sari: 58.8687

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Sari    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.1758        | 1.0   | 23363 | 6.7617          | 58.9526 |
| 0.1474        | 2.0   | 46726 | 7.1742          | 58.8800 |
| 0.1349        | 3.0   | 70089 | 7.4564          | 58.8687 |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2