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metadata
license: apache-2.0
tags:
  - summarization
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: article2KW_test1.2_barthez-orangesum-title_finetuned_for_summerization
    results: []

article2KW_test1.2_barthez-orangesum-title_finetuned_for_summerization

This model is a fine-tuned version of moussaKam/barthez-orangesum-title on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1237
  • Rouge1: 0.2902
  • Rouge2: 0.0789
  • Rougel: 0.2899
  • Rougelsum: 0.2894

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
1.6441 1.0 1497 1.2902 0.2652 0.0690 0.2647 0.2644
1.1997 2.0 2994 1.1705 0.2854 0.0685 0.2858 0.2850
1.0398 3.0 4491 1.1237 0.2902 0.0789 0.2899 0.2894

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.11.0
  • Datasets 2.3.2
  • Tokenizers 0.11.0