---
base_model: google/pegasus-large
tags:
- generated_from_trainer
datasets:
- wcep-10
model-index:
- name: thesis-pegasus-finetuned-wcep-500
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# thesis-pegasus-finetuned-wcep-500

This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on the wcep-10 dataset.

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 256  | 1.7937          | 28.0701 | 11.0071 | 21.0464 | 22.0484   | 95.9873 |


### Framework versions

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