Final-DeepLearning / README.md
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metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-vi
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: Final-DeepLearning
    results: []

Final-DeepLearning

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: 1.6884
  • Bleu: 26.3182
  • Gen Len: 11.991

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: 1

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
1.697 1.0 31250 1.6884 26.3182 11.991

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1