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metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ko-en
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: translation
    results: []

translation

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

  • Loss: 2.7381
  • Bleu: 13.6402
  • Gen Len: 29.4155

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: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
2.7625 1.0 6014 2.7882 13.3717 29.968
2.5945 2.0 12028 2.7381 13.6402 29.4155

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2