---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus_tweet_sum
  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. -->

# pegasus_tweet_sum

This model is a fine-tuned version of [transformersbook/pegasus-samsum](https://huggingface.co/transformersbook/pegasus-samsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3260
- Rouge1: 27.0091
- Rouge2: 9.1616
- Rougel: 19.9548
- Rougelsum: 23.608
- Gen Len: 50.6667

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- 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 | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 44   | 2.2587          | 26.8137 | 8.4052 | 18.7378 | 22.5031   | 48.25   |
| No log        | 2.0   | 88   | 2.3260          | 27.0091 | 9.1616 | 19.9548 | 23.608    | 50.6667 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Tokenizers 0.13.3