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bart-large-commentaries_hdwriter

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

  • Loss: 3.1619
  • Rouge1: 26.1101
  • Rouge2: 9.928
  • Rougel: 22.9007
  • Rougelsum: 23.117
  • Gen Len: 15.9536

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: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.6237 1.0 5072 2.5309 26.4063 9.1795 22.6699 22.9125 17.3103
1.8808 2.0 10144 2.5049 25.3706 8.7568 21.8594 22.1233 15.8579
1.3084 3.0 15216 2.6680 26.6284 9.9914 23.1477 23.3625 16.8832
0.9247 4.0 20288 2.8923 26.3827 9.8217 22.9524 23.1651 15.4529
0.692 5.0 25360 3.1619 26.1101 9.928 22.9007 23.117 15.9536

Framework versions

  • Transformers 4.15.0
  • Pytorch 1.10.0+cu111
  • Datasets 1.17.0
  • Tokenizers 0.10.3
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