README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - xlsum
metrics:
  - rouge
model-index:
  - name: t5-small-finetuned-xsum
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: xlsum
          type: xlsum
          args: chinese_traditional
        metrics:
          - name: Rouge1
            type: rouge
            value: 0.5217

t5-small-finetuned-xsum

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

• Loss: 1.2188
• Rouge1: 0.5217
• Rouge2: 0.0464
• Rougel: 0.527
• Rougelsum: 0.5215
• Gen Len: 6.7441

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: 5
• eval_batch_size: 5
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.3831	1.0	7475	1.2188	0.5217	0.0464	0.527	0.5215	6.7441

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.0+cu111
• Datasets 1.17.0
• Tokenizers 0.10.3