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bart-base-re-attention-seq-512

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9866
  • Rouge1: 33.2829
  • Rouge2: 24.5495
  • Rougel: 31.4076
  • Rougelsum: 32.6596
  • Gen Len: 25.9728

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.0215 1.0 18247 0.9866 33.2829 24.5495 31.4076 32.6596 25.9728

Framework versions

  • Transformers 4.33.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3
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