opus-mt-ko-en-finetuned-en-to-ko
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ko-en on the kde4 dataset. It achieves the following results on the evaluation set:
- Loss: 2.1606
- Bleu: 17.4129
- Gen Len: 10.8989
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 |
|---|---|---|---|---|---|
| 2.3645 | 1.0 | 3596 | 2.1606 | 17.4129 | 10.8989 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1