---
library_name: transformers
base_model: google/pegasus-arxiv
tags:
- generated_from_trainer
model-index:
- name: pegasus-finetuned
  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-finetuned

This model is a fine-tuned version of [google/pegasus-arxiv](https://huggingface.co/google/pegasus-arxiv) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.1914

## 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: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 49.2719       | 1.0   | 39   | 5.2978          |
| 46.1779       | 2.0   | 78   | 5.1914          |


### Framework versions

- Transformers 5.14.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2