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bart-large-cnn-10k-lit-evalMA-NOpad

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: 1.9464
  • Rouge1: 28.6721
  • Rouge2: 13.8303
  • Rougel: 22.458
  • Rougelsum: 25.668
  • Gen Len: 66.893

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
1.535 1.0 10000 1.7501 28.519 13.967 22.4854 25.4511 66.555
0.8754 2.0 20000 1.9464 28.6721 13.8303 22.458 25.668 66.893

Framework versions

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