metadata

license: apache-2.0
tags:
  - summarization
  - generated_from_trainer
datasets:
  - amazon_reviews_multi
metrics:
  - rouge
model-index:
  - name: t5-small-finetuned-amazon-en-es
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: amazon_reviews_multi
          type: amazon_reviews_multi
          config: en
          split: validation
          args: en
        metrics:
          - name: Rouge1
            type: rouge
            value: 18.3942

t5-small-finetuned-amazon-en-es

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

Loss: 3.2051
Rouge1: 18.3942
Rouge2: 10.0117
Rougel: 17.8072
Rougelsum: 17.6892

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.3683	1.0	771	3.2776	17.0544	8.6801	16.2879	16.2216
3.1169	2.0	1542	3.2130	17.9604	9.6818	17.0806	16.9609
3.0393	3.0	2313	3.2003	18.123	9.554	17.2701	17.127
3.0017	4.0	3084	3.2051	18.3942	10.0117	17.8072	17.6892

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3