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metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: bart-large-cnn-ext15
    results: []

bart-large-cnn-ext15

This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9309
  • Rouge1: 28.3399
  • Rouge2: 9.8878
  • Rougel: 20.3979
  • Rougelsum: 21.9156

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
2.3549 1.0 2676 2.0725 27.7488 9.0655 19.7904 21.4815
1.7988 2.0 5352 1.9467 28.0297 9.5377 20.178 21.6432
1.4594 3.0 8028 1.9309 28.3399 9.8878 20.3979 21.9156

Framework versions

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