transformers pytorch tensorboard pegasus text2text-generation generated_from_trainer dataset:arxiv-summarization autotrain_compatible endpoints_compatible region:us
---
datasets:
- arxiv-summarization
tags:
- generated_from_trainer
model-index:
- name: pegasus-large-finetuned-arxiv
  results: []
---

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# pegasus-large-finetuned-arxiv

This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on the arxiv-summarization 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: 5.6e-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: 5
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.21.3
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
