---
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
datasets:
- fedora-copr/pep-sum
metrics:
- rouge
model-index:
- name: pep_summarization
  results:
  - task:
      name: Summarization
      type: summarization
    dataset:
      name: fedora-copr/pep-sum
      type: fedora-copr/pep-sum
    metrics:
    - name: Rouge1
      type: rouge
      value: 87.9903
---

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# pep_summarization

This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co./google-t5/t5-base) on the fedora-copr/pep-sum dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0348
- Rouge1: 87.9903
- Rouge2: 87.5298
- Rougel: 88.0594
- Rougelsum: 87.9148
- Gen Len: 67.8551

## 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: 5e-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: 10.0

### Training results



### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0