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

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

This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4231
- Bleu: 23.4605
- Gen Len: 28.5478

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 3.1536        | 1.0   | 998  | 1.6949          | 19.266  | 27.0691 |
| 1.8558        | 2.0   | 1996 | 1.4231          | 23.4605 | 28.5478 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2