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barthez-orange-ft

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metadata
license: apache-2.0
base_model: moussaKam/barthez-orangesum-abstract
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: barthez-orange-ft
    results: []

barthez-orange-ft

This model is a fine-tuned version of moussaKam/barthez-orangesum-abstract on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1689
  • Rouge1: 0.6719
  • Rouge2: 0.6536
  • Rougel: 0.6719
  • Rougelsum: 0.6722
  • Gen Len: 20.0

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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 31 4.6662 0.6719 0.6535 0.6718 0.6721 20.0
No log 1.99 62 0.6939 0.6718 0.6535 0.6718 0.6721 20.0
No log 2.99 93 0.2939 0.6718 0.6535 0.6718 0.6721 20.0
No log 3.98 124 0.2089 0.6719 0.6535 0.6718 0.6721 20.0
No log 4.98 155 0.1880 0.6719 0.6535 0.6718 0.6721 20.0
No log 5.98 186 0.1795 0.6719 0.6535 0.6718 0.6721 20.0
No log 6.97 217 0.1752 0.6719 0.6535 0.6718 0.6721 20.0
No log 8.0 249 0.1732 0.6719 0.6535 0.6718 0.6721 20.0
No log 9.0 280 0.1716 0.6719 0.6536 0.6719 0.6722 20.0
No log 9.99 311 0.1707 0.6719 0.6536 0.6719 0.6722 20.0
No log 10.99 342 0.1704 0.6719 0.6536 0.6719 0.6722 20.0
No log 11.98 373 0.1696 0.6719 0.6536 0.6719 0.6722 20.0
No log 12.98 404 0.1698 0.6719 0.6536 0.6719 0.6722 20.0
No log 13.98 435 0.1695 0.6719 0.6536 0.6719 0.6722 20.0
No log 14.97 466 0.1693 0.6719 0.6536 0.6719 0.6722 20.0
No log 16.0 498 0.1691 0.6719 0.6536 0.6719 0.6722 20.0
0.9743 17.0 529 0.1691 0.6719 0.6536 0.6719 0.6722 20.0
0.9743 17.99 560 0.1690 0.6719 0.6536 0.6719 0.6722 20.0
0.9743 18.99 591 0.1689 0.6719 0.6536 0.6719 0.6722 20.0
0.9743 19.92 620 0.1689 0.6719 0.6536 0.6719 0.6722 20.0

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.13.3