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bart-large-finetuned-xsum

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

  • Loss: 0.8497
  • Rouge1: 15.3934
  • Rouge2: 7.0378
  • Rougel: 13.9522
  • Rougelsum: 14.3541
  • 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: 2
  • eval_batch_size: 2
  • 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
1.0964 1.0 1735 0.9365 18.703 12.7539 18.1293 18.5397 20.0
0.95 2.0 3470 0.8871 19.5223 13.0938 18.9148 18.8363 20.0
0.8687 3.0 5205 0.8587 15.0915 7.142 13.6693 14.5975 20.0
0.7989 4.0 6940 0.8569 18.243 11.4495 17.4326 17.489 20.0
0.7493 5.0 8675 0.8497 15.3934 7.0378 13.9522 14.3541 20.0

Framework versions

  • Transformers 4.8.2
  • Pytorch 1.9.0+cu102
  • Datasets 1.10.0
  • Tokenizers 0.10.3
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