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metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: bart-base-vn-re-attention
    results: []

bart-base-vn-re-attention

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: 2.3537
  • Rouge1: 19.7155
  • Rouge2: 9.8564
  • Rougel: 16.9911
  • Rougelsum: 18.5544
  • Bleu-1: 0.0038
  • Bleu-2: 0.002
  • Bleu-3: 0.0009
  • Bleu-4: 0.0004
  • Gen Len: 19.8869

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: 16
  • eval_batch_size: 16
  • 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 Bleu-1 Bleu-2 Bleu-3 Bleu-4 Gen Len
2.5589 1.0 10886 2.3537 19.7155 9.8564 16.9911 18.5544 0.0038 0.002 0.0009 0.0004 19.8869

Framework versions

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