ja2en_helsinki
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ja-en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4235
- Bleu: 24.3293
- Gen Len: 34.9345
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.8739 | 1.0 | 27518 | 1.7275 | 20.8396 | 34.3259 |
| 1.6828 | 2.0 | 55036 | 1.5887 | 21.5972 | 34.4103 |
| 1.5819 | 3.0 | 82554 | 1.5258 | 22.7249 | 34.5991 |
| 1.4986 | 4.0 | 110072 | 1.4865 | 23.262 | 34.7543 |
| 1.4142 | 5.0 | 137590 | 1.4625 | 23.2547 | 34.8388 |
| 1.3783 | 6.0 | 165108 | 1.4501 | 23.7076 | 34.4905 |
| 1.333 | 7.0 | 192626 | 1.4357 | 23.7245 | 34.7474 |
| 1.3132 | 8.0 | 220144 | 1.4281 | 23.9473 | 35.006 |
| 1.2922 | 9.0 | 247662 | 1.4249 | 24.0284 | 34.9741 |
| 1.2698 | 10.0 | 275180 | 1.4235 | 24.3293 | 34.9345 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu118
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for kknssro/ja2en_helsinki
Base model
Helsinki-NLP/opus-mt-ja-en