README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - GEM/wiki_lingua
metrics:
  - rouge
model-index:
  - name: fr-summarization
    results:
      - task:
          name: Summarization
          type: summarization
        dataset:
          name: GEM/wiki_lingua fr
          type: GEM/wiki_lingua
          config: fr
          split: validation
          args: fr
        metrics:
          - name: Rouge1
            type: rouge
            value: 100

fr-summarization

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

• Loss: 0.0000
• Rouge1: 100.0
• Rouge2: 100.0
• Rougel: 100.0
• Rougelsum: 100.0
• Gen Len: 13.9390

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.31.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3