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opus-mt-ko-en-finetuned-ko-to-en-2780616
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: 0.8435
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0458 | 1.0 | 9376 | 0.9283 |
| 0.9423 | 2.0 | 18752 | 0.8607 |
| 0.9013 | 3.0 | 28128 | 0.8435 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
