---
base_model: google/pegasus-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus-large-dc
  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-large-dc

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: 1.8597
- Rouge1: 27.3461
- Rouge2: 10.0857
- Rougel: 20.6354
- Rougelsum: 21.3828

## 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: 5.6e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.5358        | 1.0   | 5351  | 2.1224          | 27.1433 | 9.5692  | 20.2667 | 20.9626   |
| 2.1878        | 2.0   | 10702 | 1.9799          | 27.25   | 10.0184 | 20.5798 | 21.3154   |
| 2.0224        | 3.0   | 16053 | 1.9143          | 27.2012 | 10.032  | 20.618  | 21.2959   |
| 1.9216        | 4.0   | 21404 | 1.8710          | 27.2179 | 10.0579 | 20.5572 | 21.3016   |
| 1.8644        | 5.0   | 26755 | 1.8597          | 27.3461 | 10.0857 | 20.6354 | 21.3828   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2