t5-fr / README.md
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metadata
base_model: plguillou/t5-base-fr-sum-cnndm
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: t5-fr
    results: []

t5-fr

This model is a fine-tuned version of plguillou/t5-base-fr-sum-cnndm on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6878
  • Rouge1: 23.3848
  • Rouge2: 9.3504
  • Rougel: 19.3597
  • Rougelsum: 19.8429

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
1.9764 1.0 2676 1.7374 22.998 9.1033 19.0142 19.5113
1.7791 2.0 5352 1.7085 23.3534 9.3481 19.399 19.8575
1.6981 3.0 8028 1.7009 23.1764 9.163 19.1898 19.6352
1.6511 4.0 10704 1.6878 23.3848 9.3504 19.3597 19.8429

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2