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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- mt_eng_vietnamese
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metrics:
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- rouge
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- bleu
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model-index:
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- name: bart-base-translate-en-vi
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: mt_eng_vietnamese
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type: mt_eng_vietnamese
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config: iwslt2015-en-vi
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split: validation
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args: iwslt2015-en-vi
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metrics:
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- name: Rouge1
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type: rouge
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value: 8.5193
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- name: Bleu
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type: bleu
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value: 0.0
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bart-base-translate-en-vi
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the mt_eng_vietnamese dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0211
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- Rouge1: 8.5193
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- Rouge2: 1.09
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- Rougel: 7.7119
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- Rougelsum: 7.7159
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- Bleu: 0.0
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- Gen Len: 20.0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:----:|:-------:|
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| 0.0233 | 1.0 | 16665 | 0.0211 | 8.5193 | 1.09 | 7.7119 | 7.7159 | 0.0 | 20.0 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.10.1
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- Tokenizers 0.13.3
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