dgmw-mt-en-ko-results
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: 0.6391
- Bleu: 0.1252
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 0.6648 | 1.0 | 87026 | 0.6391 | 0.1252 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.3.0
- Tokenizers 0.22.1
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Base model
Helsinki-NLP/opus-mt-tc-big-en-ko