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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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