---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-text-simplification_1e4_adafactor_newsela
  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-text-simplification_1e4_adafactor_newsela

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: 0.5221
- Rouge1: 53.696
- Rouge2: 36.5456
- Rougel: 50.0629
- Rougelsum: 50.0673
- Gen Len: 18.558

## 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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.7479        | 1.0   | 803   | 0.3428          | 55.7433 | 39.7505 | 52.5585 | 52.6043   | 18.5474 |
| 0.2505        | 2.0   | 1606  | 0.3552          | 54.8713 | 38.517  | 51.9121 | 51.9413   | 18.4364 |
| 0.213         | 3.0   | 2409  | 0.3733          | 55.0367 | 38.8217 | 51.5907 | 51.6237   | 18.8225 |
| 0.167         | 4.0   | 3212  | 0.3933          | 55.0962 | 38.7575 | 51.9311 | 51.9376   | 18.7433 |
| 0.1412        | 5.0   | 4015  | 0.4097          | 54.8308 | 38.2353 | 51.5186 | 51.5117   | 18.611  |
| 0.1193        | 6.0   | 4818  | 0.4258          | 53.8669 | 37.2692 | 50.4845 | 50.4928   | 18.6443 |
| 0.1039        | 7.0   | 5621  | 0.4395          | 54.1498 | 37.7107 | 50.9405 | 50.9451   | 18.5728 |
| 0.0928        | 8.0   | 6424  | 0.4502          | 53.9131 | 37.1201 | 50.6696 | 50.6776   | 18.5488 |
| 0.0801        | 9.0   | 7227  | 0.4594          | 53.8123 | 37.0674 | 50.4964 | 50.4957   | 18.4986 |
| 0.0734        | 10.0  | 8030  | 0.4733          | 53.8377 | 36.8825 | 50.3857 | 50.3775   | 18.4569 |
| 0.0648        | 11.0  | 8833  | 0.4747          | 53.3192 | 36.0006 | 49.724  | 49.7651   | 18.4844 |
| 0.0601        | 12.0  | 9636  | 0.4888          | 54.0952 | 36.8581 | 50.6073 | 50.6233   | 18.5714 |
| 0.0558        | 13.0  | 10439 | 0.4903          | 53.2469 | 36.1195 | 49.7181 | 49.7835   | 18.4123 |
| 0.0506        | 14.0  | 11242 | 0.4987          | 53.3193 | 36.3095 | 49.7999 | 49.8537   | 18.4958 |
| 0.0484        | 15.0  | 12045 | 0.5051          | 53.297  | 36.1379 | 49.5479 | 49.5797   | 18.4144 |
| 0.0444        | 16.0  | 12848 | 0.5134          | 53.696  | 36.768  | 50.0134 | 50.0706   | 18.5813 |
| 0.042         | 17.0  | 13651 | 0.5162          | 53.4729 | 36.5564 | 49.8635 | 49.8709   | 18.5269 |
| 0.0404        | 18.0  | 14454 | 0.5165          | 53.5562 | 36.4654 | 49.9419 | 49.9367   | 18.524  |
| 0.0376        | 19.0  | 15257 | 0.5195          | 53.3768 | 36.359  | 49.7394 | 49.7357   | 18.5877 |
| 0.0365        | 20.0  | 16060 | 0.5221          | 53.696  | 36.5456 | 50.0629 | 50.0673   | 18.558  |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3