README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - xlsum
metrics:
  - rouge
model-index:
  - name: t5-small-finetuned-xlsum
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: xlsum
          type: xlsum
          args: spanish
        metrics:
          - name: Rouge1
            type: rouge
            value: 15.4289

t5-small-finetuned-xlsum

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

• Loss: 2.6974
• Rouge1: 15.4289
• Rouge2: 3.146
• Rougel: 12.7682
• Rougelsum: 12.912
• Gen Len: 18.9889

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.9764	1.0	2382	2.6974	15.4289	3.146	12.7682	12.912	18.9889

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1