---
tags:
- generated_from_trainer
model-index:
- name: pegasus-text-simplification_1e4_adafactor_wikilarge_20epici
  results: []
---

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# pegasus-text-simplification_1e4_adafactor_wikilarge_20epici

This model is a fine-tuned version of [google/pegasus-x-base](https://huggingface.co/google/pegasus-x-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3934

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.9542        | 1.0   | 803   | 0.3416          |
| 0.3111        | 2.0   | 1606  | 0.3372          |
| 0.2919        | 3.0   | 2409  | 0.3356          |
| 0.2659        | 4.0   | 3212  | 0.3389          |
| 0.2476        | 5.0   | 4015  | 0.3421          |
| 0.2351        | 6.0   | 4818  | 0.3474          |
| 0.2215        | 7.0   | 5621  | 0.3496          |
| 0.2141        | 8.0   | 6424  | 0.3548          |
| 0.2015        | 9.0   | 7227  | 0.3607          |
| 0.1921        | 10.0  | 8030  | 0.3628          |
| 0.1863        | 11.0  | 8833  | 0.3706          |
| 0.1794        | 12.0  | 9636  | 0.3734          |
| 0.1753        | 13.0  | 10439 | 0.3781          |
| 0.1697        | 14.0  | 11242 | 0.3814          |
| 0.1659        | 15.0  | 12045 | 0.3839          |
| 0.1626        | 16.0  | 12848 | 0.3878          |
| 0.1591        | 17.0  | 13651 | 0.3890          |
| 0.1575        | 18.0  | 14454 | 0.3921          |
| 0.1556        | 19.0  | 15257 | 0.3921          |
| 0.1545        | 20.0  | 16060 | 0.3934          |


### Framework versions

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