datnth1709
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update model card README.md
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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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- translation
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: finetuned_HelsinkiNLP-opus-mt-vi-en_PhoMT
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results: []
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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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# finetuned_HelsinkiNLP-opus-mt-vi-en_PhoMT
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-vi-en](https://huggingface.co/Helsinki-NLP/opus-mt-vi-en) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1783
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- Bleu: 37.7741
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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: 16
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- eval_batch_size: 16
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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 |
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|:-------------:|:-----:|:------:|:---------------:|:-------:|
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| 1.3717 | 1.0 | 186125 | 1.2371 | 35.8549 |
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| 1.2926 | 2.0 | 372250 | 1.2113 | 36.7328 |
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| 1.2505 | 3.0 | 558375 | 1.1954 | 37.0998 |
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| 1.2025 | 4.0 | 744500 | 1.1847 | 37.5538 |
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| 1.1853 | 5.0 | 930625 | 1.1783 | 37.7761 |
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### Framework versions
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- Transformers 4.22.1
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- Pytorch 1.10.1+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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