transformers pytorch tensorboard pegasus text2text-generation generated_from_trainer summarization autotrain_compatible endpoints_compatible region:us
---
pipeline_tag: summarization
tags:
- generated_from_trainer
model-index:
- name: xsum_headline_generator_depreciated
  results: []
---

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# xsum_headline_generator_depreciated

This model is a fine-tuned version of [google/pegasus-multi_news](https://huggingface.co/google/pegasus-multi_news) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3521

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6447        | 0.8   | 500  | 0.4893          |
| 0.3729        | 1.6   | 1000 | 0.3570          |
| 0.3663        | 2.4   | 1500 | 0.3521          |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1