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finetuned_HelsinkiNLP-opus-mt-en-vi_PhoMT

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PyTorch
marian
text2text-generation
Generated from Trainer
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metadata
license: apache-2.0
tags:
  - translation
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: finetuned_HelsinkiNLP-opus-mt-en-vi_PhoMT
    results: []

finetuned_HelsinkiNLP-opus-mt-en-vi_PhoMT

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-vi on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3069
  • Bleu: 42.4251

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu
1.4437 1.0 186125 1.3648 40.6353
1.3748 2.0 372250 1.3362 41.4991
1.3182 3.0 558375 1.3224 41.9860
1.2829 4.0 744500 1.3113 42.2649
1.2641 5.0 930625 1.3069 42.4233

Framework versions

  • Transformers 4.22.1
  • Pytorch 1.10.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1