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metadata
license: cc-by-4.0
tags:
  - translation
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: opus-mt-tc-big-wiki-en-ko
    results: []

opus-mt-tc-big-wiki-en-ko

This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-en-ko on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.5137
  • Bleu: 3.3328

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: 22
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Framework versions

  • Transformers 4.21.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1