---
license: apache-2.0
base_model: tuner007/pegasus_summarizer
tags:
- generated_from_trainer
model-index:
- name: summary-bbc-news-v1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# summary-bbc-news-v1

This model is a fine-tuned version of [tuner007/pegasus_summarizer](https://huggingface.co/tuner007/pegasus_summarizer) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.1327

## 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: 1e-08
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.0372        | 1.0   | 519  | 5.1380          |
| 4.9509        | 2.0   | 1038 | 5.1337          |
| 7.5882        | 3.0   | 1557 | 5.1327          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2