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hypercalm/opus-mt-en-de-finetuned-en-to-de
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-de on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.9623
- Validation Loss: 1.3569
- Train Bleu: 25.6463
- Train Gen Len: 30.1503
- Epoch: 0
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Bleu | Train Gen Len | Epoch |
|---|---|---|---|---|
| 1.9623 | 1.3569 | 25.6463 | 30.1503 | 0 |
Framework versions
- Transformers 4.27.4
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.2
