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bart-base-vn-re-attention-vn-tokenizer

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: 2.4481
  • Rouge1: 18.0845
  • Rouge2: 8.2722
  • Rougel: 15.4154
  • Rougelsum: 16.6591
  • Bleu-1: 0.0007
  • Bleu-2: 0.0004
  • Bleu-3: 0.0002
  • Bleu-4: 0.0001
  • Gen Len: 19.811

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
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Bleu-1 Bleu-2 Bleu-3 Bleu-4 Gen Len
2.6584 1.0 10886 2.4481 18.0845 8.2722 15.4154 16.6591 0.0007 0.0004 0.0002 0.0001 19.811

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.14.1
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