---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus-tweet-sumL
  results: []
---

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

This model is a fine-tuned version of [transformersbook/pegasus-samsum](https://huggingface.co/transformersbook/pegasus-samsum) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6848
- Rouge1: 44.8046
- Rouge2: 23.4242
- Rougel: 36.5586
- Rougelsum: 41.3014
- Gen Len: 65.0861

## 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.2021        | 1.0   | 750  | 1.6848          | 44.8046 | 23.4242 | 36.5586 | 41.3014   | 65.0861 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3