README.md

metadata

license: apache-2.0
tags:
  - summarization
  - generated_from_trainer
datasets:
  - wiki_lingua
metrics:
  - rouge
model-index:
  - name: wiki_lingua-id-8-3-5.6e-05-mt5-small-finetuned
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: wiki_lingua
          type: wiki_lingua
          config: id
          split: test
          args: id
        metrics:
          - name: Rouge1
            type: rouge
            value: 18.0064

wiki_lingua-id-8-3-5.6e-05-mt5-small-finetuned

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

• Loss: 2.3388
• Rouge1: 18.0064
• Rouge2: 5.5315
• Rougel: 16.1048
• Rougelsum: 17.6763

Baseline LEAD-64

• Rouge1: 20.32
• Rouge2: 4.94
• Rougel: 14.0
• Rougelsum: 14.0

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.4701	1.0	4029	2.4403	17.0314	5.0932	15.3277	16.713
2.8067	2.0	8058	2.3568	17.6738	5.3508	15.8002	17.336
2.7095	3.0	12087	2.3388	18.0064	5.5315	16.1048	17.6763

Framework versions

• Transformers 4.27.4
• Pytorch 1.13.0
• Datasets 2.1.0
• Tokenizers 0.13.2