README.md

metadata

license: apache-2.0
tags:
  - summarization
  - generated_from_trainer
datasets:
  - multi_news
metrics:
  - rouge
model-index:
  - name: mt5-small-multi-news
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: multi_news
          type: multi_news
          config: default
          split: validation
          args: default
        metrics:
          - name: Rouge1
            type: rouge
            value: 22.03

mt5-small-multi-news

This model is a fine-tuned version of google/mt5-small on the multi_news dataset. It achieves the following results on the evaluation set:

• Loss: 3.2170
• Rouge1: 22.03
• Rouge2: 6.95
• Rougel: 18.41
• Rougelsum: 18.72

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
5.2732	1.0	1250	3.2170	22.03	6.95	18.41	18.72

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.0+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3