---
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: pegasus_paraphrase
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# pegasus_paraphrase

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8274
- Bleu: 18.1989
- Gen Len: 10.1252

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 316  | 2.8784          | 15.735  | 10.3708 |
| 2.814         | 2.0   | 632  | 2.8274          | 18.1989 | 10.1252 |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2