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cu-go-bart-large-xsum

Text2Text Generation
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PyTorch
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bart
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cu-go-bart-large-xsum

This model is a fine-tuned version of facebook/bart-large on the xsum 3.0.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7265
  • Rouge1: 44.3986
  • Rouge2: 21.5299
  • Rougel: 36.3546
  • Rougelsum: 36.3492
  • Gen Len: 26.3149

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: 5e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.35.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.12.0
  • Tokenizers 0.14.1
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facebook/bart-large
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Dataset used to train sammyj4148/cu-go-bart-large-xsum

Evaluation results

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