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bart-large-cnn-summarizer_03

This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0999
  • Rouge1: 51.6222
  • Rouge2: 33.428
  • Rougel: 40.2093
  • Rougelsum: 47.7154
  • Gen Len: 102.7962

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: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.9348 1.0 17166 0.9969 51.0763 32.9497 39.6851 47.0744 99.664
0.7335 2.0 34332 1.0019 51.8002 33.8081 40.5887 47.9445 99.7884
0.471 3.0 51498 1.0999 51.6222 33.428 40.2093 47.7154 102.7962

Framework versions

  • Transformers 4.12.3
  • Pytorch 1.9.0+cu111
  • Datasets 1.15.1
  • Tokenizers 0.10.3
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