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bart-large-cnn-weaksup-10k-NOpad-early

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: 1.7883
  • Rouge1: 26.9755
  • Rouge2: 12.4975
  • Rougel: 21.0743
  • Rougelsum: 23.9303
  • Gen Len: 69.549

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
1.4657 1.0 10000 1.7295 27.973 13.2818 21.8493 25.0101 67.831
0.8522 2.0 20000 1.7883 26.9755 12.4975 21.0743 23.9303 69.549

Framework versions

  • Transformers 4.16.2
  • Pytorch 1.10.2
  • Datasets 1.18.3
  • Tokenizers 0.11.0
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