translation-eng-ger
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-de on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5570
- Bleu: 53.1421
- Gen Len: 9.2669
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.6154 | 1.0 | 9693 | 0.5709 | 52.364 | 9.2343 |
| 0.5144 | 2.0 | 19386 | 0.5570 | 53.1421 | 9.2669 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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