README.md

metadata

license: apache-2.0
tags:
  - summarization
  - generated_from_trainer
datasets:
  - xlsum
metrics:
  - rouge
model-index:
  - name: t5-small-finetuned-xlsum-en
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: xlsum
          type: xlsum
          args: english
        metrics:
          - name: Rouge1
            type: rouge
            value: 23.7508

t5-small-finetuned-xlsum-en

This model is a fine-tuned version of t5-small on the xlsum dataset. It achieves the following results on the evaluation set:

• Loss: 2.6629
• Rouge1: 23.7508
• Rouge2: 5.5427
• Rougel: 18.6777
• Rougelsum: 18.652

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: 3
• eval_batch_size: 3
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.0789	1.0	1010	2.6881	22.6824	4.4735	17.6707	17.5485
2.9223	2.0	2020	2.6629	23.7508	5.5427	18.6777	18.652

Framework versions

• Transformers 4.17.0
• Pytorch 1.10.0+cu111
• Datasets 2.0.0
• Tokenizers 0.11.6