bart-base-carvia_nlc2cmd_BART

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0000
  • Rouge1: 88.8889
  • Rouge2: 85.7143
  • Rougel: 88.8889
  • Rougelsum: 88.8889
  • 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: 5e-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: 5

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.004 1.0 1625 0.0000 88.8889 85.7143 88.8889 88.8889 20.0
0.0028 2.0 3250 0.0000 98.0519 97.4952 98.0519 98.0444 20.0
0.0014 3.0 4875 0.0000 88.8889 85.7143 88.8889 88.8889 20.0
0.0 4.0 6500 0.0000 88.8889 85.7143 88.8889 88.8889 20.0
0.0 5.0 8125 0.0000 88.8889 85.7143 88.8889 88.8889 20.0

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.3
  • Tokenizers 0.13.3
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