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README.md
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---
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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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- bleu
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model-index:
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- name: t5vi-finetuned-en-to-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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args: iwslt2015-en-vi
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metrics:
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- name: Bleu
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type: bleu
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value: 13.547
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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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# t5vi-finetuned-en-to-vi
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This model is a fine-tuned version of [imthanhlv/t5vi](https://huggingface.co/imthanhlv/t5vi) on the mt_eng_vietnamese dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3827
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- Bleu: 13.547
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- Gen Len: 17.3719
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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: 20
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- eval_batch_size: 20
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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: 5
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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 | Bleu | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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| 1.8026 | 1.0 | 6666 | 1.5907 | 10.9756 | 17.3231 |
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| 1.6217 | 2.0 | 13332 | 1.4635 | 12.375 | 17.3444 |
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| 1.5087 | 3.0 | 19998 | 1.4131 | 13.1828 | 17.3924 |
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| 1.4446 | 4.0 | 26664 | 1.3915 | 13.5217 | 17.3617 |
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| 1.4076 | 5.0 | 33330 | 1.3827 | 13.547 | 17.3719 |
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### Framework versions
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- Transformers 4.19.1
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- Pytorch 1.11.0+cu113
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- Datasets 2.2.1
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- Tokenizers 0.12.1
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