---
base_model: google/pegasus-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus-large_readme_summarization
  results: []
---

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

This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9252
- Rouge1: 0.4628
- Rouge2: 0.3297
- Rougel: 0.4358
- Rougelsum: 0.4352
- Gen Len: 35.4784

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.2254        | 1.0   | 5831  | 2.0508          | 0.4183 | 0.2886 | 0.3888 | 0.3886    | 47.4245 |
| 2.0129        | 2.0   | 11662 | 1.9589          | 0.4437 | 0.3144 | 0.4154 | 0.4145    | 45.0024 |
| 1.8783        | 3.0   | 17493 | 1.9290          | 0.4598 | 0.3253 | 0.4308 | 0.4301    | 37.8441 |
| 1.6891        | 4.0   | 23324 | 1.9252          | 0.4628 | 0.3297 | 0.4358 | 0.4352    | 35.4784 |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1