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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - mt_eng_vietnamese
metrics:
  - rouge
  - bleu
model-index:
  - name: bart-base-translate-en-vi
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: mt_eng_vietnamese
          type: mt_eng_vietnamese
          config: iwslt2015-en-vi
          split: validation
          args: iwslt2015-en-vi
        metrics:
          - name: Rouge1
            type: rouge
            value: 8.5193
          - name: Bleu
            type: bleu
            value: 0

bart-base-translate-en-vi

This model is a fine-tuned version of facebook/bart-base on the mt_eng_vietnamese dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0211
  • Rouge1: 8.5193
  • Rouge2: 1.09
  • Rougel: 7.7119
  • Rougelsum: 7.7159
  • Bleu: 0.0
  • 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: 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
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Bleu Gen Len
0.0223 1.0 16665 0.0211 8.5193 1.09 7.7119 7.7159 0.0 20.0

Framework versions

  • Transformers 4.26.1
  • Pytorch 2.1.0+cu118
  • Datasets 2.10.1
  • Tokenizers 0.13.3