opus-mt-ko-en-finetuned-en-to-ko
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: 2.8819
- Bleu: 3.0442
- Gen Len: 29.6731
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 167 | 3.5090 | 1.476 | 100.3664 |
| No log | 2.0 | 334 | 3.2940 | 1.563 | 54.8715 |
| 3.6569 | 3.0 | 501 | 3.1777 | 2.8026 | 34.1871 |
| 3.6569 | 4.0 | 668 | 3.0641 | 2.409 | 35.7632 |
| 3.6569 | 5.0 | 835 | 2.9988 | 3.0125 | 33.5423 |
| 3.0398 | 6.0 | 1002 | 2.9581 | 2.7402 | 27.7182 |
| 3.0398 | 7.0 | 1169 | 2.9170 | 2.7127 | 31.9346 |
| 3.0398 | 8.0 | 1336 | 2.9007 | 2.907 | 28.7711 |
| 2.8619 | 9.0 | 1503 | 2.8891 | 2.9215 | 28.9775 |
| 2.8619 | 10.0 | 1670 | 2.8819 | 3.0442 | 29.6731 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0
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