---
base_model: google/pegasus-xsum
tags:
- generated_from_trainer
model-index:
- name: pegasus-xsum
  results: []
---

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

This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1821

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 16

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8765        | 3.19  | 1000 | 0.1773          |
| 0.0278        | 6.39  | 2000 | 0.1685          |
| 0.0175        | 9.58  | 3000 | 0.1647          |
| 0.0127        | 12.78 | 4000 | 0.1771          |
| 0.0103        | 15.97 | 5000 | 0.1821          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1