README.md

metadata

license: apache-2.0
tags:
  - summarization
  - generated_from_trainer
datasets:
  - wiki_lingua
metrics:
  - rouge
model-index:
  - name: wiki_lingua-en-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: en
          split: test
          args: en
        metrics:
          - name: Rouge1
            type: rouge
            value: 26.1973

wiki_lingua-en-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: 2.3335
• Rouge1: 26.1973
• Rouge2: 9.0993
• Rougel: 22.5436
• Rougelsum: 25.443

Baseline Results

• Rouge1: 22.85
• Rouge2: 5.56
• Rougel: 15.13
• Rougelsum: 15.13

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
3.1095	1.0	11940	2.4383	24.7073	8.2191	21.4226	23.9708
2.7001	2.0	23880	2.3580	25.6263	8.7567	22.0851	24.8914
2.615	3.0	35820	2.3335	26.1973	9.0993	22.5436	25.443

Framework versions

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