README.md

metadata

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

pep_summarization

This model is a fine-tuned version of 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