---
library_name: transformers
base_model: google/pegasus-large
tags:
- generated_from_trainer
model-index:
- name: pegasus-large-wcep10-extracted-sentences
  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-wcep10-extracted-sentences

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: 9.7996

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAFACTOR and the args are:
No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 117.2686      | 0.4391 | 100  | 13.3092         |
| 96.2180       | 0.8782 | 200  | 11.2029         |
| 88.2080       | 1.3161 | 300  | 10.6627         |
| 83.8274       | 1.7552 | 400  | 10.3639         |
| 80.7851       | 2.1932 | 500  | 10.2632         |
| 79.6089       | 2.6323 | 600  | 10.0617         |
| 78.2148       | 3.0703 | 700  | 10.0079         |
| 77.3345       | 3.5093 | 800  | 9.9085          |
| 77.3444       | 3.9484 | 900  | 9.8489          |
| 75.8633       | 4.3864 | 1000 | 9.8225          |
| 75.7806       | 4.8255 | 1100 | 9.7996          |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2